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) 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cDQcUts0D8eQ1iVDRAMBTsYiNdRIxE09EIBJO9A2xqgERTaW86BUFn0OD2xFO97FAgFhF6OoQ7prYt4XwSeUgQHiJyDbeke9IdQntciLQ1FlJMaYcUNvZBg+FB1ubjlnRNvl3o6IEU2w7fdNPhm/hh+FLysUu6++DLHkOkrSHYEjH0tEPe7WdD3uyDgvAgK/m4szFFR7ch0toUgBTdWHr7EpaWru6+6dmbbnqWEbV2EtxAsXiZAPTtGPSbHsotI2leoM8TePEqgSQprs7AGFf8kuOkPdZPXGb55POAW1d/jLST9v5YflasP6v/CO7+GNAPC2BMZWmsOjp2NNbfHwMCJD+LPVL+D/OYlWEEI/9jpPddOFkB5d1GSuKZYggmCCd7JUxD7EXAzxyirYnNDLdDZoFdx14kivkvGc3579Jm36reTTvDgBnaO6vzyQ6chQmlsMoIkIQ2+bBDWBud1Va4pcCn8CPqxlh/fgtG8IPaPH8C5wk6/nZDv69jurV5QhtwE0x2iqOsj9Mx8B9/0EaUdiPfOYYDCi/q9jhWRuupMDEU0+CtX0sDFxv07T/K5niBPqN9+tQjgEc31NGCXFeMcCEuQBIc/BK4CO78u7EPYvl3yaEfK3vcb6qP1R2tI7vUjVDDUdKubsSrNjYKY1qBEa2P50SJoaXiksIoLiCwnxS6EBuBde87botNfdEWwYvF/R0/u5yCqhGeEOR2ynSeyXjt6ka7neyye8kryBSWE52y+RBgogrXPZ8E1yIHoHIFUM+AbJhE7lbMtt8ApL+xmZW7PwbjAO0fAVoXQOuiSP/ksIVdFZ0aulsamKUzwPZ/NYDMJRBPCxsBqLzqHyneXF6Ej9HlIFo7+pg+jUb3unRmGpstGkm6etOuDBGA5wCMefp1gTHcdZlvPBXlOslvYTp1cd8UjYLVd/J5awNrIOKLnIt9MD9qdrKrWCvA6ALm3QV9VrsPm60Q7+RHJHP+2hqfugo/MvI2H/mqr4b9tFnKSRY1Y5Ek80Nm/WIhr1ikKnxGz9TWXrokf9xwujfvcOTtNTWnxd0F37Y2W79tteBqZ4G5qLCuomw+nSr28QESCRVLTyYKILGJOPfcnaIFOsewhRdvv+rWa/Wih0vlbX6Zb75T5C0qNKVFvH1QL/vazSWgC2s6oWXXIuUxQelKiJbowuJDQViatLmLijg9CQBMg8WiPgiw3LEeYRmm5f+XdnvkDnxLLjMLxtvX74C3OlwPQqx4xwIdpPx38LrlDphiyWUWHWKAzzxurS/xTo+P5wGFak62ap1PVFFN4v/y+xuR39WnIO7lsWfwgVsK17wxrs9K8ltIKuhkw7f/6dhK6gQokFKhWX3urrjk/rnI0pgfpGMeuQIUaEM7+GF5q2iMkCaMQwxxOzcvU0eXbsnS9XknXvP7Gtw5dwPXlFu2ecvSHEZgNDsU6x/GdXBYXyOQjzZReSedeEPY6nEv9gJR4oBQJtFO6Kd0fwC6BO4LNHDeBujB6dSNcUQC9zIv2LnAzGk99bUDrdFY+9yGFQtEo0GQPNv6vS2drj4+1jHbv3aJSMUWP+QTZrmbNTjU8wyG/iXNNpskybLcJ3CiTF5Ir+JYzmJwE0mSVhlxbtbmvweB3ulB6Til5UuUZydpgiFVeobhU0WaBqpJ198d+/XeNRTZ9/1OPfG7+2hwzd5W3D+hmyjsRcUg/+Cavb++Vh2ls3L7zT/etOnHNxeerv313vzLVqPai4nJv+K1FC6040/4udw7sAb3laSg0XCkAAs0npBO6VJabS4Elk/U+D4gTXW+j0wnrMlqNamq4tMIYB87tE10i0FR3LZNhJsb7/R561btmes8YBCRkhYNByRtKd55mqTas9FYhJnbRGHuOh3M4QTdgQSqmgRxuzGdSvZGcbMxNQGk5C3ebLjoXIOFM4l+WKHmLTJwRv9E8GWJ6dYvf/FmEyEGr+gyrr1p5zrgkz0Cw2j94Hv8Jdx7dIVegBSNtgsqGsRQEYiIBoXwD0LNvQ5d7s5Z00QzwNhqZA0b+tMG1tQq5nd84uq8R0zPvX35G8uRaze4jcOHzz0w1+Q2BIRvf6J6Kgatnrbiem+CFvAxfkrndzD9MFPP1GWTUHclpASUkCNAQkpCCcCgDSUDAhDZ+CuEkgn8J7i9nMA7pA4lISappxILKfAeSAbIcSDuN2bJcfZILqeO5rLs0MnngSHYRdrHjmaz7JEsEPw51ZqDJDmUIOZIe34WaQeegNsJn1qz8AIpT3yCjyEih/xELkuJ0lEMYTLVCiWpo5oYMleMH6USyYJcD+uOe+kWKpn1Qns34iyYDjkSLvgnZXcgVQNeqINXr48m3iS7cjm8tedyY0f1QvTnHHdsrKby/+SSbPY8/NH6vpl/Esq3Ae4ZU1HC44KFiI9o7CEgab/RqHbj7s5KAg06s39ZP/zxI/mVuF/TbTSy+3Fb8If9/cv7+wt91yy8RfP1QXtW5RzQn7qIiZyuFM5QfJ5E9uVnqT85TanFx0lkP3ukBAMprvsRyi/C8NAJL1xbIIirSvnSj4O5netb4JxmNANHPssHAcHMHsFRgEug816gDBeMbdfiuRcghqYcm0+Xxx/5IAEtN3fqFF3LzAXqwoT0PN0OVTNqxo8sxMkd5Ig6k79Zk7VxxX6gMLOZFQgvpW2RrMW1D0BDihaXQ9wVRoBxPLfpknmkeMtoB/qM9cRc9IqmMD2XUmdZ7GSRKPUZvChf8BoykriM2MnKYbOHX8R7cLdNCxSFFVQqoYswnlWtlFS2mNkhswVpZiQW1J/UKFfipHGlUkM6UKBhMz1istELIHJLMSctu3ugzfaVSOjKvUgc/THK4Sdg2Wscz69leKIkkrwuuWiOe9yGYKQXRumkC3qbRcMwrvhjNXgdZk3RxAUEhuSPvn3nnd++U/3vlVOmrJzCD8JLxV1OHRjrZifbcFDOuRNTGqdgQm1tSNJ2OcQ04YiEXuxtII1ECSQRoQGYioEsgCfchB4ghAtw7FfJre4WZ9hkVi9MtjuWqtdNDlpMrfEG9fOT6q21okg+e4As38MfGquNt7oUws6Ysarj1/efE+yst86YUVNvDdts3Pv5c8m/aP0C+f8/Qb+IMnGq09BgwN01oIOAnAdagI8mBSrqk1gxTDUBOtk2ousEtBH2z4Ir2d3f6k8PXXVlt2qN9RODxRuoJT/v27wm09jRYVc/e++iyx2tyzJb/n3J0htXP87eSsQaf2Ly0s6Zmxela88REy1cf4273mI3iXNJ7KxrZibOm9xm6rl4fqy/t27smU8tOfdW2ucBzg2UfmOIVyLIl3kpYlwphDISTXJXsctmiDtN7fNV6zelgxwnWxsVr83Aj/S5ki1jL/a0GC6+2L6Um+aoddlNFuj+bJ8mH/iaLh8I0/U51NspIEfq0dohwyFXKgm4NggwQ4rRhCOUFtxxo8XnitT4cnGfT93IS8FaT85XE3H5LMY4zIEPL1hw443wz+1UmhTJyJGxZzw+wsKkKZgUiVtKOKMEb2AKHTv61FNc01PQFwKnvsZ/9pPA4RKTASWahmh+8MxwzHxKy74IRn5LGRjsPUUwTu64UYNY38caqd7HKucZ/tHnODtENw/2UfHRMaq1UUPDJQ0OKkWCeet5fYOhII1VRz8+/Elg5j4Gxur3J8o2PJ4rg+2d08T/fwEzSVbyZ9XPro95T477lRKqUSRXQnauHNsISAl27oWi6Fv9z48JMv8r/aMMj8onCP/DuDZOuN+GPPr/+p7bx+7JlbYdppcNhzKU/1Px5aiaGDn/s1iGMaBcleKUo/v9rcxkZj7DBEKOfrayytXNLYiUdBY+pleQXdnscKlQcpzuWluxsieeyuXIK6SdxozitWyGOV3vOHHjguyCQ6fpIYy2JwvrQEF/Qa9Pdf/QqOSqCiE/EE1/XIVKTc2tzWbHnimrEd+Vyz311Ml3P0GVTj7PD5aDnsvCvH36alEaPMePcMegXs7x8igTu4B9v7G9vTHvhCu/kzIdx+BxC0ay9zRSvoS0F2lIxI+X7klU63I40gLQ3w5ep5na+SFnba3z5D64zv+QtM4n4ffG3tq4aNHGRfxgrXPMim+5487abL7xhdseIRn1KDl+7aINixdv0OD+JSPwKf5+xoP6aiTeQIDVlIhMcL1H5R9PYXvprs3fv2bO7MOplCmweuiq2JRZ1zz+9a/v2PH1Hfz9236w+ZrPXvWfAxlj4NLLHpq3c/PQ3uvmvbrjG7fe+o2y/cLdtE6VUlXi0ASb1VLUBVSUWSU4HdvAraTyS8xzM8NxvxFkXV6pUVRiJwcgC5zEeht4rwcp7ki0k41G0qlQhG1Vzlq8alEmnFi58caB5Q9vn988MLhqyVlHvLEWjtQFeupdiocF/tkkOGPW2ibWaBTkeZ/dvPWazXfOnnvL6jkRXpi85sFzZt+55ZptW3bl1cCCHZPD06MhySha7UFzjcjbp8fOecFCirzAG/yVjBX6OFIaadSjQq1nNhyIe8tVbaaSdHlXIWKacMeuZA1uxS95zILhyrxAdsXTL6m7kNQlx2P9uZf2qhufePFFbpI6/OU0WcP99RrCsrwseVot5mtytpf6Y0gm9sdeyKnPQ7onyK4nXlR/rg7H95M1upzu89DH6pgUcikoiihJ6NJKmRxV1x+MJiOA3YwhDRQrWU0u/0rvq0VYXnyCwsLeTJYBq3dAtJDavuzyoVpzZ99Z0+a0uoiFH/xcqgDR7rUFeOrUn6Cywb8ZeNMbhLV5ugP9l0zv9UN5b5mFkjzxUcpPJCn3V402pRxtJd2GrnLdhtVk9ZSZh9W91fCSH5B7ofxPiWL+j3D/uwhBRdyAyozeZwvQzs79soi+BKSnafLviZCcfrpBpLyimfLfTyJtbyruIQKD01tUwJyKEo/ybaxkSNFUMdMkhQoJyRBQFhnUkDQSXhTM+3NmY0EDM7ffLIjqWEGt8lCO6mLia3PukFnghosJD5p5SIho/VDkzQfLE+IrYoJXkD19pdP7OwG/voIUtagiWiZ4PAFTHHlTVhRZ7dYmPar+NJ+8JhmR6DFK5DV1foHoLNO/pHrvZfmWZ15RQlwvoVDKhCWNK3CCch9lfFBuAqUgpFSShmNaPj+i5++WZfKeViJfW5HnUakVL4UCNVkA4+ETfIqx4B5xSaP2L1yn0zn2ltPn4+OqZGmwwEVCaCSqG53ldtL1oLGAhdMLd09MpCCF6tD6ZnAZBY9hDaYsP0jzZ0j5ZjKsF4i1UmLuhbJMCnYJPt5VwFNvmZawXjEvLJqIH8STonZjq7BZ8gKgR20C9MDFqJAX1H64QW2NEup6qgzLP8cvppL/NNTOBTCJABOHeWoXzLhw4Wuy7gaBtjKr9kgKq8ZlRYBS32Lpxc8vIhpNDTfyNXWybMJbn2RyQ5EmWc2QF9wmSZ0KYCE+cPuYO6b15Uotj2Kd4MItLS7gtFbkTdrFND6pvEZqv5Yv7jXAus7Pg7avo7KDot50NX3CPkP+Kps8J9/3mGQIteY/LGPC+L7872SPR2br5fy8MtKBMHedGuM28/MZmPJMrGgi3Gb1S+Si1/L/zrZwO9XH1ce/z7ZQ1WSoY/+pMb5FT4ua0Wm+Jf/298nFmChEQ+Ti71est4mq9VYI6RsymoRJKYidElT2FGnDTZvqtfhGAFTbeqEw68GqtfmbVa/1IFO1/jdWr/8BDRRtQh9XNjubEm4aWVpVonpTGR7PVGc+KJNoBIWF7kYi4gUV3r1U6723i6TxUl3n3/tM27aZfKb7THiHW9VzFSwHJ05VfK6Ar7kaB0XgPPE0BSkSFKsBUpaLihEWoA9wBt8qirh2VSOkZwXEwyrxZ5jyt2rJmSo9gX7cg6jsEUGJU9z9xJPOEM3uQQxKgkh35DNATnVyrmJ3mbCNyIB/yox4wH1bg2DwN7q9kov4pFqny8oSm3RQbGgJ1QQTs6ZMLilOVYJ9v6Wha3HcJ9jddsXp9YhGUXLXt/qMDnvLpPNTXfNa60z5/yjXQOMq+lNmwh5egpYrdfZQZV9rI47xlRkuyTjpzsmCBSWNkAXVoK8sgYWqQJWbo1RLo6QH0YW6pxqfCnRgkd+RiFjUQUQ7poIaYoakgXxwFd9BuuI38H1xBxXSFb/pBDIKQFn7YB3dB36l7sG1FLaKiBdp1KxLvfswap/30lnVESgNnvjbUoT6w9N+Xoio0qcYOIM+heg940YimsucQVvli9NEcft2UZwGQwLuilj1fFr1i3NP94X+PE7Hpvtj6lBJfJ4R6NvWiaL6MgzWHxiN66DExa+dAdAbMYX6HVF8A+7rjEZIXAVbDe7PVI9rmN69JOLV1DOSvRPxWNPZBZf/Nf+Ny65BhYxxxV+77XJ2wfQ389/IQPgajXbwMsuAz/0IaQcXJavKbRqR2IqyZruXjVC2+hdee/5vdnYOedpmVtR3NGXldxSzDSIiBVpkGb9by89UpEPKrSLZmyFDzMab/wXl2CNe7s/qCtTvWgG5kpBmCBlSzDS/r8N4uwBwohRW63JTS1y32f0TQsPfXVGEHQrV8/NCfiOUVirYcBbIeA2+iF68rQIo3B/S628vYESr79ehzS7Q9LEL9UXmik9XVHb1yBO3Ngvt5935+k1efkV51mzzrM0LL3/20avnwMeKuWyOUZg2TasSqZ+KcZQiOn1Iu2Vh497ALUVZiCKt/gh6IvTIj1ZLRjWAkpHKOKovNwp00eqPROiAbiNEKieXwMLcXhVJ1/uzmLP4tfxaHR59cBdJVG1kTAgl9ze9QKUEQ946Hkb+okJ5JRDyf54Axur1D+WS49cLr0tTPEu7UmXrxcSr3XNvumv4yXzInXKH4F7Tc7p17Zt+t/qW2+93k063X7VW6lALxTY7i1nBXMxcxmzQbabxz+tJo+wijYaIGMNS8AoSMgAPt84DdHOoMPfjXhF+kuH1tZvuFQrRCN07xGcXRX9MYxYchDe5BcHj+Z4i+42WyPc8Xofi7bbZJN5nJLJ5qr6IqRtzqNlM17SpFsnkEyTWoABEjz4JXOQvzWYuwdnV5LNGOwTM5v9r4RpQ8ZXsYodks3o31JBlzbYtNotisnm22MxiwGFXam5oN1n0TA/hRvshvTSDwHff4nNzRo9Dum6PaJbMXzDz+x+Fkj4L4bFNBb1asqsgH7Dyh4DvbkPtf5yMDKzEwyoaESMSNS9P9gJVA3/RTlwoMwZvxECFWxIPNw9gi01nOHjP32esZTtmXHnxvZd8ZtakqQ7ekajbXetpNa6ocTVxJtY+uSe69OLz77zh5bDR3xjZMzUz6fxrz1nqrZGcHQHfPVefN+fiK86LeXj+Sc5lPKy+k/vCUI/DaLFYCWHr6nbXuILTIsb5imNKY/rCm28fSMxPhkN1XbNMNZGuqwOBhtTSxWuTk6bw0ZaG86b1hKddePOKuBvmiguYBn4T/yOqOyGRBt7bKUI1GjioBC8aUKwF7Q319UgcmtFGIzCJGBqwQij0ynDsfdFGc3TS3BlNfJ25xmzniMkpXXTPvCaD3ZaZvyzjmZdudBostmhb0ORZNN2sJBeed1HXkrUsywueQH+L0eCPxmsa5ZpgRJSDZ11yDv+jmbd86vxZfc1WcZJ3UkMq1BOOOVtvu/+pB+en186d3GTwWAw2jheaJs09/+LNfZft37DALyrNj1wABMuUKbODyTVnT/KYbJ3Tpq8IrNh92dkxOj5P/YpZx4/ycyiVcDYdn4JbEoKdQi9054iBKsygLW46FRGxAb0NPNCm8BSNCPjoKcj6EAus4SuP3rB+cV99/eTF6294dA8+TK6v74MHVpYNRt/I30e8QGTOOdfGWzzxcy+87a7bLjw37rHw1nPzp0KyyRSeZO+QQhInt3dYgvycjrPOv+T8s1rptaP84VeywdWX2T4ysr0/7TLIs6+x9zib56ye1dM9e/XsZmePY3NDs9zlnNVt4+WgHJbbz3Livg4P9WWgviOMm4kCRT6I8vw0NbUUEnFvOuFKoxQW1gTsvFirsF5pb7qTUCx4i7VmtToveaDxvK9uOaedVvPRpVOnNz0Q6bry7uiSdQ8t7Vy4JQKVS+XPplV2ts4bvCwZu+KzgITtxepaPRzWdpv74muvv6RO0SorX6cu/dqKn/XWnrtp/Zragz13DUCl5myiFW2Ycvb0PtsXnU+tx8pvLFbUspLX68mdegwmOif/NPDONajTGoUh6tU56HBJCTBASVvNUB5VIiKpc9kd7kludodSFz7xQbiOmMk5dOYk56gzL6uaf7N8a6MQOHm0ae6snZpFDfuT3/jdYzjzwkXXIVHoXNuCfQslQZqBZjTsoHMqrkE4jaYdgkGz2ATOgB3cPkSukD01DnV3ttb1wx+6arPqbkcNAHoFPzKUUQ+qL0k97pjbZv1I/egC9zTFbrrlFpNdmea+gIgfWW3wqkcis8ky5FAcRd1If5nNZrl2FFpungc8wpoCl1BpQV/ScS+zjlASyUTVv/AJ46gkJI4bHX4lTnloctxPZE1ckS3+jG2fKIjkQFyzuo8jvYQG1OrGvJPSTu/nSp9PHNTl4z5hK/8gtXVKF6gEKiglgcKiRlCESsQCV5QIlKWKpr34lt/wkSx/JCmP5/cBKQfl/5gd+rOS/+p91/+YCg5CXK2W4M9fu+/6xxX+vnelVuldIDCG0VQTpU9Dw4pRfei+6zWx0MLie0gPbyrkmRU7OwT16JGeyXLHqOLqAfVN1GPlBzWtFNzj0TRTCjogtP1NjIvu5habN5Aoa1k66wGpqriVetJgiGdwDZtKhnN0y4n9sXYnsqGmZfDSR15+5NLBlhoDaedEm7sxmpqRija6ZEEg2EAnTiAC8IrmFbGz1q08P9PSkjl/5bqzYqT9hMmptEXDgTqP3Wiye+sD4Wir4jCeoHbbp5hRfpB7BakUIppIlPCD30dR1GtslDz8OsqbXmejFC/v8wu5X2myq7SJ8Avzv9DFUJySf5uNvq4+Ti7W9D/OZrLChdwxmPNiBRqVjnpK/aGxRCDspVYKAW9AN1JANoo8wP4BJUlGqdgw6m1qPQ2QW3+OfU5/ieLS/NuKpDU3uf8bcAXyBal5jMR2NEAbPAZt0K3hvxHBEDlUxfIGcD+N2gNSNx36nfqlAYow0puatNpRz0e4W2oahKzQHsjf2c16ad/3t2KTtPobnX6D8C8pd0MDP+Kx7wnXqGGlLQcvikMErm6TmfsuxJXbSAxqNjOogJLQBLiKEHAE+JGTS3JoEhTrz8/CB+5YlupJ58aOat8Kv4JvregxwcU5Cp8GFAFm1FyOfto6GS2m1NGTS6CPNKkbsTdCBlnN9onMho55BX8IJZtEQ35lk+htwN5A0V3RCPoD/yXAcv6pAtbZczRUA64JmcUf4q7Q89ZHLeJVZ5D1Ps/t+0iCT3AHVtZC7JDCXfR7OSb/Xja5H3zQbZL1B+ULX1BMTEk3AseSpmnKEK4T9ekMIidUCRQFfcbj7z8gNLvzF7mbhQN8h6ZbRset+nQWdS/ZX3k7WpS8P9sfo0iGS64wV516pOhjI6TZ2dApgI5+LhxywYoWxKUrykKJsIoDsR4mSrCTg0egMPnLW/3Q5Nn8BZEuzqEI7HK3n0+zFmuO3TtWQ5WJoG9YqCD6Gc32SxnbnVPfsxvrFXK2dILl7bLthDp6glhcsfp4bYvbSmj/mQ94uBTw0E73x2jbNRCvC6VL6GCFDwU7eWQDcC5FY5s0slieRDwtAbRsbLXbaXAuu14e2OJw1dc6jQ3ZdY8v7rv2/BWZLqvFWVvvcmwZkK9f5jS4muO9yR5res4kfkRxhV03L1RfPOiPtYi8pd7jNEsOpyTwxpaY/yCZu/Amd5Or9uS3DYaeqVOhH7gZN/8I/wi1fEuLXvyNivibjuKvN+1Nc01HF/3h+ef/sOhox8MPd5SFucPjorQwXT+ytA8EmA5mamHNFDVhBI5pjZbQpugBNkO8MvRub8KVDKST1Wag7D3xlin1ZF7LFP/79nbvCXFOY+PUjrT7/otsPXXZ4exdPzuhZuL5LUXVAn7k7PbhG89uz3b41X01gbjP1xwlu5rrvvf9+pbs6E/Vu7Nk642/PYRaAiUBdrmO6CDTBLPQFA1ur0uXoBR1INDMkypKpoTqnSMx5GiEdTEaSHLs0Alvu/19/5QW9Rv1U1ridT22i+53pzumbs+XFFXYC++CGsTj5JUT/GCgRt3n78i2n71FHG4/u6X++9+raya7os3ZbDmgWfXun44e+u2NZKuGZ0HiF8M4TlMPR+EU6rPKRJ8wOU2RFUFLex3egEsz3YqEAq0cqhAAW19dBZIlVzR61tuIdTnpXH7l+uXrbjPUyep+8cl6aXKWhPHpDcXl9KiTWDNr4mBQc8Tq+NzK/OKSbsfl79o9G20R+brBXYvUg0rLHhtrc4TN81TTOWSZ0gL1ZVlOYH2ery/7XVUjFMbzYpg7UswcqJPQwBd0LKLabJ8IaCr2otcjSkIrGwootKECaUd4XH1+SdazRrfddkBU98t1htvWrbjqSqjaCguxrffM/5zDCpBALUycmajhd+R6ww4SWafuZ5eU+tPid4lgd3gt+b/Y9rQoZNmiXYPXyRHbRs8zX/f4WIFjWZJtUdSD55AP3xtXH+ZipC0EqdBGDA4CoYEU6gRLGPU11QhkLTBiEYPiqOeQgwTCl9aok1Qr5pFf71qEeNxjy/8F0GoqYPv75Yh9j3x4DuJ+uEzHRpAq2lMqb+qfTdiq6kGtzfOWsv0c7lSeMXDHBDe1MT+LUgx0Pg/p87u2UicdIvqQi8DkxhcUwUXCedMpb4NQjwY3npTmgsURJavLwCRyEcN2HfWsDVGfv/u9ZUWUx+PYFueUKwaNvbtu+Xps3eVWbN1GcgVrdMnWJ7WmJz9SD66EBidag0NF1Ukep0t5A7sFCWdhzvYwHv6L/BehXuHqfaBwBEU7hfVLcXvS4VQv+T/vaSIl7cbeMc7ekv9i8S3e1L5xxpvMGcu1EYPbKyCiijjGXcDKckm43PqU2qNWlXusZMiqF82cuVzolUHN9NNR0HZPxFPV9V0wLtvq+k4DqOwVWDlzuQLVdqFiP08cRX7aRlBVfR8cb55bWe5LExnlcsDp1vAP8Q9BucPMk1Ulh4GnN0SAdxcNHv3q9ohx1Ati4S/tkWjIDe3hQdkUGrGRaFBiUdiTSkI41UkMuuQHP+EaSQYlPQTFWJF03BNPpTu5KFAdkWgDukzsZKMG0Q1TAQQglScOaP/dsZ8+fP75D/9Uu5Gs3FY/2SxPld0DHOciXI9gqjcEidXjE+3BLosy0OcX3T7O5g65ROGyzQ2BZs7WbZVnO5ydLe32hMwTQ4wnnKXW6XW5LAa7oaXOIHoUl0FgLQLH2by8wSTWeAx2Y5PDazK3BqZbeJZwXGPaYhX87ZNszoDdaRxotXO1nNlpdvAPFWHDm8PqEE0sZxDEqGzxisFNnuCWetPcGrObN0p23tTZwMuRVodSV8+LTrOV3eRvzjQZiSjaLYS1WEJe0kNsJlZu9LFun7++wW4gRDRbaxw2nrOGm+xOj9cmtbp9ZqeTM1m8UXfQQCSTVSQox6pvtjot/FpHvIUjJovFEoYvHYV9C5Y/xN9OfcalvII37UEhTbTg/AQIaPb4Vz6j5u8/aViycMod/fkDcpu8QZbZoeBi/vbzP3XPsZvOubMtaPHkD9jt6+U2O7vqU/9C9SMvgrXpQNG/E0oJxun+CiElUa0IKQSUwERxOntKSV7ekcuh9VBZBBo3VUcB58ofKBHCwLyf9qFosz9Ibf8dGqwaBMjRig4SGOZ2UkWI7UiO9OfUPdxOYFApUZyfpY7mgEc5rtNGGk2H1lPhAk1Hp/VAMqQEHEUfEYkkUQq1JMdzsX7kklRrTrUi1wMcDjmu1YYfATj7Y+pGpPEBXuoQIj8rR9mgCl4C9yqmF7xnVWxGVniNqtpVmXBvQ6iwni5YQ8a1jYrXtc2J13HvgkvqWxuva1sbr+P2S5ceKGyBwDv2DbrToe1u6BkAJV7xnVLUaq0sJB8pFqcUIPi3yuwxi4JuLr+P30f3OkPQ72aO0xYo3/EsmO3QO5qEF8S0qQH0UsKXv0brnl9+8M7jF174+DsfvPOl1au/RL5/9DsbNnwHL2pHR1NTRxMZhJtHktOOxLxErPF6YlLvpC9YP73x+4ofw+3xVdrHcDE0dQQCmCRgvt9b35xINDf1CDcRSfJ+pYl+Sf8YcurfmXP5F/kj6J82jNsrkWiEuhVlgFfyNkB3S5MUzLhoNiwSCYcxQ7Ui4J0Xh7fmqRbaPa1tzujxkBRlsEHy0/OM4pYLPb7g9O6BQJN6l9zQ0OGyCaZz0vMTbHOzXfQ7a2tsterTcqxeInODoemdktw+1SbVhKwtW9ffe8VKadK0OVuC3bWzyKm5LeddsWTeorWyY9IMtUFutdu5g+Rn533qkocdvLs2HmhU75br/MmWtD8zA3OP2t1ea636jEzqYxJZGAwFiDEd61oTsrRuW3/3pYNi3bS+Rd+GjOfVpAPNd6y64Gsz1GaZleWIPoYL/v9mTeQBENVEguiF1aC4YeXxFETw6QyPfn0m9g8IrMFAvKM1EI11DARnbqibHk/Iojy5rSdgCyZi06y8sS024PeuO4MfwQ5Y9yKRZCqyYaF30vzeHlmUprR21tR0t0yz8KZY66zWuGvxVQB/36kP+K38t2Hu6NQ9SFJfw0AdpqPEK2qTMpf2VCqJwqPoJezTL824b8akoL+x03nhh+oNo5e77psxg9Q5LzebIKD+fsY34f2MtB9fk9v5b8PT6tYrgv4kRPwd0q9z3gdJSJ0653KjCYPwCaR5aUY63eW48O/kdo33yxX9wCiMv2QTrk8eGSI6Ag6moG9t2P/F7GRNlDjl0gw7pJ5aOXXqyqn8SENnXBmbSwUYLyqJjv3UmY1nKr4t80no0faXsaIEiF/BRaIBnItSce4OUif7W6Vm9T9H1X9Vj71BEm+RdmIJQST/ZfVdudUvh9S/qqNvqT98g9SQ3lHibZY0mRVHooyDN/FHmTgzjdozKw28NwQ0hwN6BCoPKaEk3YtKwNhwRLXuk076CGoZNXDQcRwZvreTZY9EZi+d0s4+ztv8iei04JQl6ZbDD2eHV7X4uHuFVfPrOmcs6m6Kr7hssr+1VZFcEZ/PdJkn1hOs8SXS/NFFgqt94PIZzZ3tdaL6Q5vo6piSzdy737pwsX1VyxUrF15iJ4uNkq+rbyg1Z+O8VsNC1UmcvORPRfxtPrfRwL2p/oA1eZp6Z/aGffoewaXcA/xBlKlQLfhQL/oPgBGP3qsA7IQS8qDVNswHKRSheDUvA3Q7MZoRcJMxlEygujn1QdyzfPfq3dEp/bXh5e5YXW2Ngfvza0ZF6UgFL/E0fTq4LBlvTE2qb/KuuzYSXVnjTfM1osvqMHVbm9950quIZlbqaL6YP7jk3kUtA0GnX2nvq53f3WoSsvEdDRnULgo2fN7lNZJgI8/VWi33c3bBZnGY05+dm+3qc7fNmj4YGKLj2nfqFP+g7jdDlxEV5XsJQZP6hYrS1l0VQr4c69Xueixp90gnZPmE5OF22j+SYEWHlZ0K/Hgsh/Ztsbh6h2DNRlvv6jJh9XaJaHCZDiUDKNTMkvb8vsqCyf3ZNdSmO0fa0Y4baJTtpbKzuVzeeSI7fCKr2Z0WypapnXJ4gnoWy3PoUIlIQ1TXdqhQJIXp9Wx5fYdpeWh2TY5D+YVyKd0jw3iumwi/BC3cEy4o83QlZnW79MrCgCjbhWXBlRZVVZZv4rIKpXC01HFlHdHLoeWVl6UVc/J5uGm6CViW5mulYMk+HqNYr0AyUPivLg2oMs2MPqtuhHyRyiwvNJej1Br+fcLyoAyu8D9B7bgmzUqfFobF5nKnK4+t8MPJkI/xHUNWk117jugWF+xazTAALQn6+UE9lhoI5ApGA/iuJOsrlNP28SVVuBVajXmircLel46w2bJS1Q0Ft0KDuikDFL/3pYrid1Q4FvofwRIo4R9h2ftSwc6jHAMqLcCql8YPHtlzGoByNXYN6v8hXnRaOhUvx0sVLCexwupGDR4NOYC7PePa5keIPACnuAdD7dEadRuTIiS6Lb7uskb381My5yjzF8lGCjBRqdwrWJCagfB3yCy7XT1i92hbcZ5Ci1FJkgYMDf6n+jspIsHFjJrTOdzSMuOa9DbDcj/nH9N9bIoGVgzHPWIQuFuYtaMRaq8eCKI0gEF6lPOZjBz3EEvaaxwSUT9U/8JbJZPJJLBLolH1La/RbF9AbC8JJjv/mMnssKjLRBJyqj9QXxNko0Ux/X79epfiXkm6fmKwF/en1HLc6LxloXWKvGa5rVCVL83VuiPcDEX/K5pTXOxHfx6HHB0t2FI0qI2rCZFTrvPWU67zVuS/kTsLnc7IKhFg30e4FOkqNSfH5PtkmUy6Cpiv/36k2sbqCeCFNa+URpoY0sZoYmCgCr3qgZz6s8I0gP1bYiR+D79H56NOz0EVWCTy2/fffvSCCx59W7uRV9995eqrX8GLesOXNm360iZ+T/El3uZqL+FyzSZ8XxpTiI/G0nkT4zznFZ0t4ipMz5v4q9ssqbdKUZt6u82knPCrt6PZwsnn0XySVnyPR1ZXAn72yx48bWJsu7apnI3Hy8bygUK5Js32qcytapqgmn95uexccj205vGgJ+euOeG2SORmKZr/qKzcx9SFctMJdwMUFZDJITs7dnOp1EKZCxg304Cevyfya+vlKqv6aXK1qIj3imL+L6hL+yvUlFfE0VKZ7E8gBY3M/8VoJCFgizH1W6VyC76nH6b7jiibYVxUmVIEspry/LgZIlCeP11Z4zs/AwvVwtGFEut5S1JY4lfyT0N/evOLo+rUEgjcqc9IkGpQbv3iW7Co5b+KgjvpzYdH85PLcc4X21ouwEGl/S4qnUAvoSlXUUhR1eKr2VWFTB+GMl6FsiQsVD1R3urlAAIoSn7JQkmiVVCHSpCwDH/qPepXQ0Db77CJOAImohB+RPWr31ev5g/kE+zTa4lbvZo8xdWPffQu9yJTPCNB66s+zXoJt/0L6hSoCuBIoK8fnBGG87OoRckJpLqyWe4YbpGi50g0+3I3UD85Oa0fzubfoXxPLbW3FDWzigmyJeM0tQkax7PqTy80+UxfUHPlBZIRVNQ+v0xRm8REKPoLmNr0+Uo48v9GFbXPKylqQ2IKm00QddgyWGMROCTxdLB9nCY8P7j2DjlsV/+mfr0C0r/NkeXbbpPlOTBBwT0mVz1zx9S/wJecBF9Wgv3p032iP2v4VSgfgW2G+HUEdEXU6iq4CtpLJfIN9XQG8dwa1VoO8XC2SrPDDyCOQptXgbcPvlAgBfxBoGwftQKeKFrNTASPt3pGGqDt/QRasn2kri+H6L80MJRsmVYJrAKyDItpJUy3/15WYIJqcJ9Q5N/LFJ4c3dc1URpWl9hW6mu50MUIelg4ucTPf15zs5DFo1c0VSp1tKB9jkwIyuM45kb+IP8gHed+6jO3v0KbIknzLy636E8KPTdCuUpB0wLo9JKnAO6pv0vS31EtBha/fJemkgLVVnd8KCk4qBTpQ5m7FbifBKrPJcq0pZAFVG/XbOFz+Tcq2MLrcmV28Nmi/OHskh82bau0k8eWCaPijQPWQ5lUvslwVCfHkXBMIehqUgtDNLeauH1huvZTbYmw+luPjyWoNGEuxRLR7LK5fSyXFUyK7PURQv2v8D3XOt2NJ6liBbmPGOsakw1kbeOs+31Wm5qpH+iJWSzqdPr2O7zc2TmtnrzCig6bBd/vgQmzOlz0STWIlmZEQfupogOZFHUZ7EkUnMn0RrpIMqAgHRJAOjIJ3yGw1I/MAp9q9S3Q/clADNm1wEeO+xbwg5OIYHZLY3ehG5lJk2xhco+6JWybpEVz2wrR6hZyD0QXZbeDVB+onmlimpkWprdAs4WEZDSQppsDlcdCBJJESIYFuAtUnC4GIF2C3Uu2Kv7L1bdz6FxtqxpG4TqQOqOUNAJ2HLvPWA2GgDy4O4vaDrtyl6P+1fAll+SyFcQ28GHqh7fvvf37udylf0fNwhzgz87Y+cf5x9GnF6ygHu18sAbipWeF0YPBgp2GaKeQduxxdEr3SgbH1kvH7tvqSLhedomOvZyts2dw8acu3dY/f+ucuMtCuP/e4zC4XnH3OLZ8ZuxTWxy8dJfU5dhDeKPSlJy5pn/+7u3XrJhmr9C5CuleGflGQocKnlAUaRKp0BAHV0ZwUt9VCqk6zYOgRIuMfePJzdmBdpPJ7/6B23+f+sp9NMDZevovvfYHG5dGPISQq1DojqNckchVrCcCYz/Q0hI0m3NKDRfkgsrnamo+p0CAq1FyvC3a3Nak/s5VX282x9Ufy3E39VAx6o7LpCvO2wK+ch9jNqpJCutcIOooKnYWtDK8gTRVYygRQfwgzKM5+jP2jOZdx3r32Py7rQUPOzAnoRs95NvRAR0qLGU11Taqu1bUYSzMcWjMEir067JQQHfIrLBHsrgv00/Wavd8HRLMEEYFSW3HCSNQehnrHztKqHcDyo4VfZ6gPKCR+gufwA8GegxUEo4A+gd0BASHiH6jYMLIsUdQJTs/C641KN4oCHWolCMLlMfIdtWKScjx7SM5LD9HnfmhrGI0S139UWfUnxgOXdJFW+AMcGjKr6eHAttHF5sUoeArYKDcxMSYcKA/xUDhPiEOEAPafSIUFArN0r24ynI91EPARDXvIDYyvqZaWeroBOUABQA/E+DXC7PWafDLQY2oiwpUEyj4RQtVlUp1GrM7In2p2A7VuiOW6otMiGOo5Mrp05ejVuTy6dNX/k/7mybZQ0nUmfrbx3U4KueDnlHm5wdh8FFeKnoaKKh/TK18StOPhwG9Xo5mqXAxvw/79YQwwDR+nAKQQ4izVXioB84qcppWB7IqjU45z4CE17OvF1Dw+oTFqxtz8dxwtogBnF9MjIl/in+K8s3hM9laIn0TiCbTAXL0T798bPXqx36p3chrv0O+GC9Xaj48Ecv8U8UEeBvUEsDlTepiU5OvlpeNGvpnKF0RvUooWhIjnx6GeBapXCQYTw9DNg6/OC3gZjp76oNTj9Kz6Jqobxb9NDqc08vcKReOpcsQV2K8InXFaXW3aI6Ofr1k48rp7CX7rx+v1UKPsfvzQU0Kc83i2VdILmd2/yX55zT9luN2+Cu4nKfwPcK/CvDVU+pHh8+LaldIf1fA5h3ndT6Fln9/W/9Ce1vndfvJtnPVO2xhm3qbafHVCN1X363UXHq9xuVD8OSD29Z8pZ5cZrern9cAdGW/uib/ud+VK0L9a42r6C90kL8KzxwLQw9NkIQJL0ASU8M+VG0KsUdgdvpgP/6NqqP0/gHZFUfGEijZLHpiIgvV5/Bltrj8Qd7XQd5p4P+7tJo30NMO6VGBwahSPMYiaaBYoLY6uEnciyhhh1Z/vvacG/rjpsvnpzs0B1Id6fmX8119l88XnOxe/uGrzzHcdu7UtY3+2vmXN5zUyj3ZcPl8p1sZSs6/nGXtwrV7Ka0XZdz83fwjjINpZWYw85lL8BRK4nGyIir2RiOsEyipuEcIakpGjWgBjLiHWOgj0Yi34gW1kKPxHt2Na5q+lwg1RdRSpFDNzosb44YJXnAfoEOpZW//6u1lhYA6leevezbI26zNHO811M2dc5HFxpk4i1jPC0s21/BWW5DnPQbn2X1WK43/aM2n18DfSoybbNHijFpamzXI31eRibGUOxSu/lT96YZlq1Yt20DaSBuG6knw2eusHs5EPBfNmVvHKdaQzcDfz9ZsXmLDWGXy2U5OsYSsIn8CS12jQIyD12KKqZrLPy7mSPdICmd6WGHG8NDZkkHuE4h9TU8FpmUO/VjC/EinToFyoNDz2p9XD6g78WgQdPG7Z3R0T/Z5dTM9lsL8Ktek7szl2L+gQwGgwkZHc2g5Su7NvVqwGy2Ua4KSXUwt1X4PaM5paaEu6jQ5zVFyNabxvUksVt2T/4VeamYPlLtffdQsk+2sUTY/zDXl/05W53/Bz9UK3p7LjapZ2ZxOm+UlZXrL3HHGqO8+wVroDaCTTnTxitMxmiAAYQzVJQH+nj3oIHnPaN6Zq6sNSLjBl8tKgVr2mj/9CWi9dnKca8rBQBsd5R1tzVlgrl5pbnPw6kZclCr2CHxMnHohLz+3KRQokzALyeIKFU1TNCiayJdoHvDYe7K6mZLm8S3uJ9dojuaJ62/qN/tjQxnSnhnKPw+LNrLi8ZKyJ3x1YhiI1aNAtP6NzCGzYv3DmaGh/LvQZnt0evgIhTFV0kE/PYxAnOHhCQUZdCWY5JWJwMzlAGl1mpNbDU7yyGnhRMILsYhH3VRAijrPcBU8/Cj1Y9NY6cnGVW0CjTLaz7E3epvaT/LtTV72Rs+0WVVmd0dz/MGTI5F0OsIviaqDlbbO5X6xT3PeXbXHRtf/z+fdka+eKPr8KF7IF4vBsT9MFPuPJMBTBMq9hQxXelQ+bewnf18ap4Ib+mSMrtDU5zqlD8QANa5MBGh/OwOvSDfcV2d66mfEWsbGWmIz6nsyZDWQSmqmxDneYyvjHPmRXHZxeueyRGLZzvRioKnGto9nIPkibAJA16adcOZRQr1iAP3bUyBR7T4RgAWTKxhkCYFwshq+7iV9r0whk50cmRcTg4fy5x4OmmNkHndIA2+YuMbmE9dwGYB4KFTsvnDE6Ah47r/fE3AYI+oXADpkdlENcZ8OZEEf8FFGZNxMs6ZLpG3SUFLL7Q2kcFU/A/Jsw+vWDa/7emewLaoeibaF1B9qUNnuqWK3+UfXYVL1v/omD15xxeDkPnXTOKSVcCbDGtOu0YQNpGAP7U1HU58UrqGu8xIbHtkQ3LVhb7Dx46ET3Ffcm1q0YcOizNmf3bC3VjWfAcpSv3MyTlgJ23FHQgmgvk+gk8pL0mcCDOn08MDAQlf+/SlTZ1z12fnqntOhbOTL9/ZdevbAPN+yby1f/uUtC/ixm8ZBo59LTXEW060hGrTDplNprWd58fwB/b/E27BdS/s7U+rGVCeQ46nzaw9QccnmZerGZZs3Yw9aVHt+Kh6HN4ti6lxIhT/wahnZtWwzlY9QHQ2c79C+dxzvVDKy8GqKWQERO9YAKbpsDUTLdWV5dE8PVPjvj9pqw7ah/PFVtkit7aj6G5xY9mfJrCz1j1e0BcnPol4UjtrCdbahIVtd2HaURujnFJR8CuOuUUfhrGhgKKgjCYNSvCc1WKlEp8wHUaAYynFNyzZn+2MnYv36dbMDBTonl/T/ma5IKAyEGz+4eRnVtaX6tss2o34u8mWorFtuFgm4A6qK/yp/gLEBVat5WnPDdKA574ubuFJ/IUfZ/Y2Nt6mN+ZNNTSTaeI56gKwkXerTe9DDHUw8/H35FY3nNN7GGuBKWhrV9ep+0k1WjNWVaHkW1yA+QHWNu8rtBw2a5YXuE40rs7/GA+j09V3hA98yRnFPOGr8ltGlsFdD/7tRce3LH6Trcneuiy7K7J3khKu+3qUaXPWaX7T6/Kfj9BX2eZq2XAcZT79u1ClJzUtHUqfqSMWBcZS43Ena0cUGLgpkKxB1QM+0Fxz10wgg6r5rltnFpH05pepUq3Y2HfYqeKRntmUFNz+XmcOs1H31U6cC6RTVLfCg7RNBF1UF2/wBgu0fFQtPEU1sSg3VcNsR7dWq3af87tUFn1l3ltXpaJxpNvtcZkH2WmMst3JqRpxUH+WC0E1qOGtP66s1MYv+VLu8/XFXvV/ZbunYYBeVN64ls0ur6NzpV9xzlmQwB5qC4Tq70WC0tk8dWJXeHvkD0h9zJOM0vD86/1NJMaIAolctvlByferCsqOKDKceOfUu1PsmoFCamV5mCrMUOCi6V6FJosMF22AcrKJgQDVhfYh6tepp/lYgvnCEAbJQ1L0rOpajEmRcasMiPfxhgGoVo4rwreQpV6fUJHH2e8fa1s2c13Apl1b89a58ozdoap2sjgLN9uISl7P1DrulyeIkt0zr6JjWocoPOZsaXPb6jtqBblsgsaRre2xHi4nELm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<h1 class="title toc-ignore">Creativity misinfo-India</h1>
<h4 class="author">AP</h4>
<h4 class="date">2025-10-01</h4>

</div>


<p>#required packages</p>
<pre class="r"><code>library(psych)
library(dplyr)</code></pre>
<pre><code>## Warning: package &#39;dplyr&#39; was built under R version 4.3.3</code></pre>
<pre><code>## 
## Attaching package: &#39;dplyr&#39;</code></pre>
<pre><code>## The following objects are masked from &#39;package:stats&#39;:
## 
##     filter, lag</code></pre>
<pre><code>## The following objects are masked from &#39;package:base&#39;:
## 
##     intersect, setdiff, setequal, union</code></pre>
<pre class="r"><code>library(tidyverse)</code></pre>
<pre><code>## Warning: package &#39;stringr&#39; was built under R version 4.3.2</code></pre>
<pre><code>## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ forcats   1.0.0     ✔ readr     2.1.4
## ✔ ggplot2   3.5.2     ✔ stringr   1.5.1
## ✔ lubridate 1.9.2     ✔ tibble    3.2.1
## ✔ purrr     1.0.1     ✔ tidyr     1.3.0</code></pre>
<pre><code>## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ ggplot2::%+%()   masks psych::%+%()
## ✖ ggplot2::alpha() masks psych::alpha()
## ✖ dplyr::filter()  masks stats::filter()
## ✖ dplyr::lag()     masks stats::lag()
## ℹ Use the conflicted package (&lt;http://conflicted.r-lib.org/&gt;) to force all conflicts to become errors</code></pre>
<pre class="r"><code>library(summarytools)</code></pre>
<pre><code>## Warning: package &#39;summarytools&#39; was built under R version 4.3.3</code></pre>
<pre><code>## 
## Attaching package: &#39;summarytools&#39;
## 
## The following object is masked from &#39;package:tibble&#39;:
## 
##     view</code></pre>
<pre class="r"><code>library(ggplot2)
library(openxlsx)</code></pre>
<pre><code>## Warning: package &#39;openxlsx&#39; was built under R version 4.3.3</code></pre>
<p>#Arranging the dataset</p>
<pre class="r"><code>##For condition - create variable &quot;condition&quot; in .csv before import

crmis&lt;- read.csv(&quot;crmis_sup.csv&quot;)
colnames(crmis)</code></pre>
<pre><code>##   [1] &quot;X&quot;                       &quot;PID&quot;                    
##   [3] &quot;Start.Date&quot;              &quot;End.Date&quot;               
##   [5] &quot;Response.Type&quot;           &quot;IP.Address&quot;             
##   [7] &quot;Progress&quot;                &quot;Duration..in.seconds.&quot;  
##   [9] &quot;Finished&quot;                &quot;Recorded.Date&quot;          
##  [11] &quot;Response.ID&quot;             &quot;Recipient.Last.Name&quot;    
##  [13] &quot;Recipient.First.Name&quot;    &quot;Recipient.Email&quot;        
##  [15] &quot;External.Data.Reference&quot; &quot;Location.Latitude&quot;      
##  [17] &quot;Location.Longitude&quot;      &quot;Distribution.Channel&quot;   
##  [19] &quot;User.Language&quot;           &quot;Q_RecaptchaScore&quot;       
##  [21] &quot;consent&quot;                 &quot;nationality&quot;            
##  [23] &quot;nationality_text&quot;        &quot;pre1_true_reliable&quot;     
##  [25] &quot;pre1_true_conf&quot;          &quot;pre1_true_share&quot;        
##  [27] &quot;pre2_true_reliable&quot;      &quot;pre2_true_conf&quot;         
##  [29] &quot;pre2_true_share&quot;         &quot;pre3_true_reliable&quot;     
##  [31] &quot;pre3_true_conf&quot;          &quot;pre3_true_share&quot;        
##  [33] &quot;pre4_true_reliable&quot;      &quot;pre4_true_conf&quot;         
##  [35] &quot;pre4_true_share&quot;         &quot;pre5_true_reliable&quot;     
##  [37] &quot;pre5_true_conf&quot;          &quot;pre5_true_share&quot;        
##  [39] &quot;pre6_true_reliable&quot;      &quot;pre6_true_conf&quot;         
##  [41] &quot;pre6_true_share&quot;         &quot;pre7_true_reliable&quot;     
##  [43] &quot;pre7_true_conf&quot;          &quot;pre7_true_share&quot;        
##  [45] &quot;pre8_true_reliable&quot;      &quot;pre8_true_conf&quot;         
##  [47] &quot;pre8_true_share&quot;         &quot;pre9_false_reliable&quot;    
##  [49] &quot;pre9_false_conf&quot;         &quot;pre9_false_share&quot;       
##  [51] &quot;pre10_false_reliable&quot;    &quot;pre10_false_conf&quot;       
##  [53] &quot;pre10_false_share&quot;       &quot;pre11_false_reliable&quot;   
##  [55] &quot;pre11_false_conf&quot;        &quot;pre11_false_share&quot;      
##  [57] &quot;pre12_false_reliable&quot;    &quot;pre12_false_conf&quot;       
##  [59] &quot;pre12_false_share&quot;       &quot;pre13_false_reliable&quot;   
##  [61] &quot;pre13_false_conf&quot;        &quot;pre13_false_share&quot;      
##  [63] &quot;pre14_false_reliable&quot;    &quot;pre14_false_conf&quot;       
##  [65] &quot;pre14_false_share&quot;       &quot;pre15_false_reliable&quot;   
##  [67] &quot;pre15_false_conf&quot;        &quot;pre15_false_share&quot;      
##  [69] &quot;pre16_false_reliable&quot;    &quot;pre16_false_conf&quot;       
##  [71] &quot;pre16_false_share&quot;       &quot;prompt1&quot;                
##  [73] &quot;prompt2&quot;                 &quot;prompt3&quot;                
##  [75] &quot;prompt4&quot;                 &quot;prompt5&quot;                
##  [77] &quot;prompt6&quot;                 &quot;prompt7&quot;                
##  [79] &quot;prompt8&quot;                 &quot;prompt9&quot;                
##  [81] &quot;prompt10&quot;                &quot;prompt11&quot;               
##  [83] &quot;prompt12&quot;                &quot;prompt13&quot;               
##  [85] &quot;prompt14&quot;                &quot;prompt15&quot;               
##  [87] &quot;depict&quot;                  &quot;decs1&quot;                  
##  [89] &quot;decs2_r&quot;                 &quot;decs3&quot;                  
##  [91] &quot;decs4&quot;                   &quot;decs5&quot;                  
##  [93] &quot;decs6&quot;                   &quot;decs7&quot;                  
##  [95] &quot;decs8_r&quot;                 &quot;decs9&quot;                  
##  [97] &quot;decs10_r&quot;                &quot;decs11&quot;                 
##  [99] &quot;decs12&quot;                  &quot;cse1&quot;                   
## [101] &quot;cse2&quot;                    &quot;cse3_r&quot;                 
## [103] &quot;cse4&quot;                    &quot;cse5&quot;                   
## [105] &quot;cse6_r&quot;                  &quot;mach1&quot;                  
## [107] &quot;mach2&quot;                   &quot;mach3&quot;                  
## [109] &quot;mach4&quot;                   &quot;mach5&quot;                  
## [111] &quot;mach6&quot;                   &quot;mach7&quot;                  
## [113] &quot;narc1&quot;                   &quot;narc2&quot;                  
## [115] &quot;narc3&quot;                   &quot;narc4&quot;                  
## [117] &quot;narc5&quot;                   &quot;narc6&quot;                  
## [119] &quot;narc7&quot;                   &quot;psy1&quot;                   
## [121] &quot;psy2&quot;                    &quot;psy3&quot;                   
## [123] &quot;psy4&quot;                    &quot;psy5&quot;                   
## [125] &quot;psy6&quot;                    &quot;psy7&quot;                   
## [127] &quot;sadism1&quot;                 &quot;sadism2&quot;                
## [129] &quot;sadism3&quot;                 &quot;sadism4&quot;                
## [131] &quot;sadism5&quot;                 &quot;sadism6&quot;                
## [133] &quot;sadism7&quot;                 &quot;attention1&quot;             
## [135] &quot;pi1&quot;                     &quot;pi2&quot;                    
## [137] &quot;pi3&quot;                     &quot;pi4&quot;                    
## [139] &quot;pi5&quot;                     &quot;pi6&quot;                    
## [141] &quot;pi7&quot;                     &quot;pi8&quot;                    
## [143] &quot;pi9&quot;                     &quot;pi10&quot;                   
## [145] &quot;pi11&quot;                    &quot;pi_self&quot;                
## [147] &quot;attention2&quot;              &quot;post1_true_reliable&quot;    
## [149] &quot;post1_true_conf&quot;         &quot;post1_true_share&quot;       
## [151] &quot;post2_true_reliable&quot;     &quot;post2_true_conf&quot;        
## [153] &quot;post2_true_share&quot;        &quot;post3_true_reliable&quot;    
## [155] &quot;post3_true_conf&quot;         &quot;post3_true_share&quot;       
## [157] &quot;post4_true_reliable&quot;     &quot;post4_true_conf&quot;        
## [159] &quot;post4_true_share&quot;        &quot;post5_true_reliable&quot;    
## [161] &quot;post5_true_conf&quot;         &quot;post5_true_share&quot;       
## [163] &quot;post6_true_reliable&quot;     &quot;post6_true_conf&quot;        
## [165] &quot;post6_true_share&quot;        &quot;post7_true_reliable&quot;    
## [167] &quot;post7_true_conf&quot;         &quot;post7_true_share&quot;       
## [169] &quot;post8_true_reliable&quot;     &quot;post8_true_conf&quot;        
## [171] &quot;post8_true_share&quot;        &quot;post9_false_reliable&quot;   
## [173] &quot;post9_false_conf&quot;        &quot;post9_false_share&quot;      
## [175] &quot;post10_false_reliable&quot;   &quot;post10_false_conf&quot;      
## [177] &quot;post10_false_share&quot;      &quot;post11_false_reliable&quot;  
## [179] &quot;post11_false_conf&quot;       &quot;post11_false_share&quot;     
## [181] &quot;post12_false_reliable&quot;   &quot;post12_false_conf&quot;      
## [183] &quot;post12_false_share&quot;      &quot;post13_false_reliable&quot;  
## [185] &quot;post13_false_conf&quot;       &quot;post13_false_share&quot;     
## [187] &quot;post14_false_reliable&quot;   &quot;post14_false_conf&quot;      
## [189] &quot;post14_false_share&quot;      &quot;post15_false_reliable&quot;  
## [191] &quot;post15_false_conf&quot;       &quot;post15_false_share&quot;     
## [193] &quot;post16_false_reliable&quot;   &quot;post16_false_conf&quot;      
## [195] &quot;post16_false_share&quot;      &quot;age&quot;                    
## [197] &quot;gender&quot;                  &quot;gender_text&quot;            
## [199] &quot;edu&quot;                     &quot;edu_text&quot;               
## [201] &quot;employ&quot;                  &quot;employ_text&quot;            
## [203] &quot;marital&quot;                 &quot;marital_text&quot;           
## [205] &quot;religion&quot;                &quot;religion_text&quot;          
## [207] &quot;ses&quot;                     &quot;score&quot;                  
## [209] &quot;attention&quot;               &quot;decep_total&quot;            
## [211] &quot;cse_total&quot;               &quot;mach_total&quot;             
## [213] &quot;narc_total&quot;              &quot;psych_total&quot;            
## [215] &quot;sadism_total&quot;            &quot;pi_total&quot;               
## [217] &quot;pi_cultural_total&quot;       &quot;pi_obedience_total&quot;     
## [219] &quot;pi_selfreport&quot;           &quot;Prompt.1&quot;               
## [221] &quot;Prompt.2&quot;                &quot;Prompt.3&quot;               
## [223] &quot;Prompt.4&quot;                &quot;Prompt.5&quot;               
## [225] &quot;Prompt.6&quot;                &quot;Prompt.7&quot;               
## [227] &quot;Prompt.8&quot;                &quot;Prompt.9&quot;               
## [229] &quot;Prompt.10&quot;               &quot;Prompt.11&quot;              
## [231] &quot;Prompt.12&quot;               &quot;Prompt.13&quot;              
## [233] &quot;Prompt.14&quot;               &quot;Prompt.15&quot;              
## [235] &quot;X.1&quot;                     &quot;condition&quot;</code></pre>
<pre class="r"><code>ncol(crmis)</code></pre>
<pre><code>## [1] 236</code></pre>
<pre class="r"><code>crmisf &lt;- crmis %&gt;% mutate_at(c(1:19, 22:69, 86:194, 205, 207:218), as.numeric)</code></pre>
<pre><code>## Warning: There were 12 warnings in `mutate()`.
## The first warning was:
## ℹ In argument: `PID = .Primitive(&quot;as.double&quot;)(PID)`.
## Caused by warning:
## ! NAs introduced by coercion
## ℹ Run `dplyr::last_dplyr_warnings()` to see the 11 remaining warnings.</code></pre>
<pre class="r"><code>sapply(crmisf, class)</code></pre>
<pre><code>##                       X                     PID              Start.Date 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                End.Date           Response.Type              IP.Address 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                Progress   Duration..in.seconds.                Finished 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##           Recorded.Date             Response.ID     Recipient.Last.Name 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##    Recipient.First.Name         Recipient.Email External.Data.Reference 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##       Location.Latitude      Location.Longitude    Distribution.Channel 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##           User.Language        Q_RecaptchaScore                 consent 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;integer&quot; 
##             nationality        nationality_text      pre1_true_reliable 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##          pre1_true_conf         pre1_true_share      pre2_true_reliable 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##          pre2_true_conf         pre2_true_share      pre3_true_reliable 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##          pre3_true_conf         pre3_true_share      pre4_true_reliable 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##          pre4_true_conf         pre4_true_share      pre5_true_reliable 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##          pre5_true_conf         pre5_true_share      pre6_true_reliable 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##          pre6_true_conf         pre6_true_share      pre7_true_reliable 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##          pre7_true_conf         pre7_true_share      pre8_true_reliable 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##          pre8_true_conf         pre8_true_share     pre9_false_reliable 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##         pre9_false_conf        pre9_false_share    pre10_false_reliable 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##        pre10_false_conf       pre10_false_share    pre11_false_reliable 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##        pre11_false_conf       pre11_false_share    pre12_false_reliable 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##        pre12_false_conf       pre12_false_share    pre13_false_reliable 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##        pre13_false_conf       pre13_false_share    pre14_false_reliable 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##        pre14_false_conf       pre14_false_share    pre15_false_reliable 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##        pre15_false_conf       pre15_false_share    pre16_false_reliable 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##        pre16_false_conf       pre16_false_share                 prompt1 
##               &quot;integer&quot;               &quot;integer&quot;             &quot;character&quot; 
##                 prompt2                 prompt3                 prompt4 
##             &quot;character&quot;             &quot;character&quot;             &quot;character&quot; 
##                 prompt5                 prompt6                 prompt7 
##             &quot;character&quot;             &quot;character&quot;             &quot;character&quot; 
##                 prompt8                 prompt9                prompt10 
##             &quot;character&quot;             &quot;character&quot;             &quot;character&quot; 
##                prompt11                prompt12                prompt13 
##             &quot;character&quot;             &quot;character&quot;             &quot;character&quot; 
##                prompt14                prompt15                  depict 
##             &quot;character&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                   decs1                 decs2_r                   decs3 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                   decs4                   decs5                   decs6 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                   decs7                 decs8_r                   decs9 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                decs10_r                  decs11                  decs12 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                    cse1                    cse2                  cse3_r 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                    cse4                    cse5                  cse6_r 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                   mach1                   mach2                   mach3 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                   mach4                   mach5                   mach6 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                   mach7                   narc1                   narc2 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                   narc3                   narc4                   narc5 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                   narc6                   narc7                    psy1 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                    psy2                    psy3                    psy4 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                    psy5                    psy6                    psy7 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                 sadism1                 sadism2                 sadism3 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                 sadism4                 sadism5                 sadism6 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                 sadism7              attention1                     pi1 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                     pi2                     pi3                     pi4 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                     pi5                     pi6                     pi7 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                     pi8                     pi9                    pi10 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##                    pi11                 pi_self              attention2 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##     post1_true_reliable         post1_true_conf        post1_true_share 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##     post2_true_reliable         post2_true_conf        post2_true_share 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##     post3_true_reliable         post3_true_conf        post3_true_share 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##     post4_true_reliable         post4_true_conf        post4_true_share 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##     post5_true_reliable         post5_true_conf        post5_true_share 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##     post6_true_reliable         post6_true_conf        post6_true_share 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##     post7_true_reliable         post7_true_conf        post7_true_share 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##     post8_true_reliable         post8_true_conf        post8_true_share 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##    post9_false_reliable        post9_false_conf       post9_false_share 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##   post10_false_reliable       post10_false_conf      post10_false_share 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##   post11_false_reliable       post11_false_conf      post11_false_share 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##   post12_false_reliable       post12_false_conf      post12_false_share 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##   post13_false_reliable       post13_false_conf      post13_false_share 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##   post14_false_reliable       post14_false_conf      post14_false_share 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##   post15_false_reliable       post15_false_conf      post15_false_share 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##   post16_false_reliable       post16_false_conf      post16_false_share 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;integer&quot; 
##                     age                  gender             gender_text 
##               &quot;integer&quot;               &quot;integer&quot;             &quot;character&quot; 
##                     edu                edu_text                  employ 
##               &quot;integer&quot;             &quot;character&quot;               &quot;integer&quot; 
##             employ_text                 marital            marital_text 
##             &quot;character&quot;               &quot;integer&quot;             &quot;character&quot; 
##                religion           religion_text                     ses 
##               &quot;numeric&quot;             &quot;character&quot;               &quot;numeric&quot; 
##                   score               attention             decep_total 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##               cse_total              mach_total              narc_total 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##             psych_total            sadism_total                pi_total 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;numeric&quot; 
##       pi_cultural_total      pi_obedience_total           pi_selfreport 
##               &quot;numeric&quot;               &quot;numeric&quot;               &quot;integer&quot; 
##                Prompt.1                Prompt.2                Prompt.3 
##             &quot;character&quot;             &quot;character&quot;             &quot;character&quot; 
##                Prompt.4                Prompt.5                Prompt.6 
##             &quot;character&quot;             &quot;character&quot;             &quot;character&quot; 
##                Prompt.7                Prompt.8                Prompt.9 
##             &quot;character&quot;             &quot;character&quot;             &quot;character&quot; 
##               Prompt.10               Prompt.11               Prompt.12 
##             &quot;character&quot;             &quot;character&quot;             &quot;character&quot; 
##               Prompt.13               Prompt.14               Prompt.15 
##             &quot;character&quot;             &quot;character&quot;             &quot;character&quot; 
##                     X.1               condition 
##             &quot;character&quot;             &quot;character&quot;</code></pre>
<pre class="r"><code>crmisf &lt;- crmisf %&gt;%
  filter(consent == 1)

crmisf &lt;- crmisf %&gt;%
  filter(attention &gt;= 1)

crmisf &lt;- crmisf %&gt;%
  filter(age &gt;= 18)

#nationality frequencies
summarytools::freq(crmisf$nationality)</code></pre>
<pre><code>## Frequencies  
## crmisf$nationality  
## Type: Numeric  
## 
##               Freq   % Valid   % Valid Cum.   % Total   % Total Cum.
## ----------- ------ --------- -------------- --------- --------------
##           1    646     77.09          77.09     77.09          77.09
##           2    132     15.75          92.84     15.75          92.84
##           3     60      7.16         100.00      7.16         100.00
##        &lt;NA&gt;      0                               0.00         100.00
##       Total    838    100.00         100.00    100.00         100.00</code></pre>
<pre class="r"><code>#nationality frequencies
summarytools::freq(crmisf$nationality)</code></pre>
<pre><code>## Frequencies  
## crmisf$nationality  
## Type: Numeric  
## 
##               Freq   % Valid   % Valid Cum.   % Total   % Total Cum.
## ----------- ------ --------- -------------- --------- --------------
##           1    646     77.09          77.09     77.09          77.09
##           2    132     15.75          92.84     15.75          92.84
##           3     60      7.16         100.00      7.16         100.00
##        &lt;NA&gt;      0                               0.00         100.00
##       Total    838    100.00         100.00    100.00         100.00</code></pre>
<pre class="r"><code>crmisf &lt;- crmisf %&gt;%
  mutate(nationality_rev = ifelse(nationality %in% c(2, 3), &quot;Non-Indians&quot;, &quot;Indians&quot;))
summarytools::freq(crmisf$nationality_rev)</code></pre>
<pre><code>## Frequencies  
## crmisf$nationality_rev  
## Type: Character  
## 
##                     Freq   % Valid   % Valid Cum.   % Total   % Total Cum.
## ----------------- ------ --------- -------------- --------- --------------
##           Indians    646     77.09          77.09     77.09          77.09
##       Non-Indians    192     22.91         100.00     22.91         100.00
##              &lt;NA&gt;      0                               0.00         100.00
##             Total    838    100.00         100.00    100.00         100.00</code></pre>
<pre class="r"><code># Ensure PID is a character column (if needed)
# Ensure PID is a character column (if needed)
crmisf &lt;- crmisf %&gt;%
  mutate(PID = as.character(PID))

# Recode nationality: If PID starts with &quot;US&quot;, then &quot;Non-Indians&quot;, else &quot;Indians&quot;
crmisf &lt;- crmisf %&gt;%
  mutate(nationality_rev2 = ifelse(str_starts(PID, &quot;US&quot;), &quot;Non-Indians&quot;, &quot;Indians&quot;))



# Check the frequencies after the recoding
summarytools::freq(crmisf$nationality_rev2)</code></pre>
<pre><code>## Frequencies  
## crmisf$nationality_rev2  
## Type: Logical  
## 
##               Freq   % Valid   % Valid Cum.   % Total   % Total Cum.
## ----------- ------ --------- -------------- --------- --------------
##        &lt;NA&gt;    838                             100.00         100.00
##       Total    838      0.00         100.00    100.00         100.00</code></pre>
<pre class="r"><code>#Filter for Indian Data
crmisf &lt;- crmisf %&gt;%
  filter(nationality &lt; 2)

#Gender Frequencies
summarytools::freq(crmisf$gender)</code></pre>
<pre><code>## Frequencies  
## crmisf$gender  
## Type: Integer  
## 
##               Freq   % Valid   % Valid Cum.   % Total   % Total Cum.
## ----------- ------ --------- -------------- --------- --------------
##           1    386     59.75          59.75     59.75          59.75
##           2    255     39.47          99.23     39.47          99.23
##           3      1      0.15          99.38      0.15          99.38
##           4      2      0.31          99.69      0.31          99.69
##           5      2      0.31         100.00      0.31         100.00
##        &lt;NA&gt;      0                               0.00         100.00
##       Total    646    100.00         100.00    100.00         100.00</code></pre>
<pre class="r"><code>crmisf &lt;- crmisf %&gt;%
  mutate (gender_rev = recode(gender, &#39;1&#39; = &quot;Man&quot;, &#39;2&#39; = &quot;Woman&quot; ,&#39;3&#39; = &quot;Non-Binary/Transgender&quot;, &#39;4&#39; = &quot;Prefer not to say&quot;,&#39;5&#39; = &quot;Prefer to self-describe&quot;) %&gt;%
            as.factor())
summarytools::freq(crmisf$gender_rev)</code></pre>
<pre><code>## Frequencies  
## crmisf$gender_rev  
## Type: Factor  
## 
##                                 Freq   % Valid   % Valid Cum.   % Total   % Total Cum.
## ----------------------------- ------ --------- -------------- --------- --------------
##                           Man    386     59.75          59.75     59.75          59.75
##        Non-Binary/Transgender      1      0.15          59.91      0.15          59.91
##             Prefer not to say      2      0.31          60.22      0.31          60.22
##       Prefer to self-describe      2      0.31          60.53      0.31          60.53
##                         Woman    255     39.47         100.00     39.47         100.00
##                          &lt;NA&gt;      0                               0.00         100.00
##                         Total    646    100.00         100.00    100.00         100.00</code></pre>
<pre class="r"><code>#Education Frequencies
summarytools::freq(crmisf$edu)</code></pre>
<pre><code>## Frequencies  
## crmisf$edu  
## Type: Integer  
## 
##               Freq   % Valid   % Valid Cum.   % Total   % Total Cum.
## ----------- ------ --------- -------------- --------- --------------
##           1      2      0.31           0.31      0.31           0.31
##           2     59      9.13           9.44      9.13           9.44
##           3     36      5.57          15.02      5.57          15.02
##           4    298     46.13          61.15     46.13          61.15
##           5    148     22.91          84.06     22.91          84.06
##           6     99     15.33          99.38     15.33          99.38
##           7      4      0.62         100.00      0.62         100.00
##        &lt;NA&gt;      0                               0.00         100.00
##       Total    646    100.00         100.00    100.00         100.00</code></pre>
<pre class="r"><code>crmisf &lt;- crmisf %&gt;%
  mutate (edu_rev = recode(edu,  &#39;1&#39; = &quot;Did not complete High School&quot;, &#39;2&#39; =  &quot;High School Diploma/GED/12th Grade&quot;, &#39;3&#39; = &quot;Associates Degree&quot;, &#39;4&#39; = &quot;Bachelors Degree&quot;, &#39;5&#39; = &quot;Masters Degree&quot;, &#39;6&#39; = &quot;Doctorate Degree&quot;, &#39;7&#39; = &quot;Prefer to self-describe&quot;) %&gt;% 
  as.factor())
summarytools::freq(crmisf$edu_rev)</code></pre>
<pre><code>## Frequencies  
## crmisf$edu_rev  
## Type: Factor  
## 
##                                            Freq   % Valid   % Valid Cum.   % Total   % Total Cum.
## ---------------------------------------- ------ --------- -------------- --------- --------------
##                        Associates Degree     36      5.57           5.57      5.57           5.57
##                         Bachelors Degree    298     46.13          51.70     46.13          51.70
##             Did not complete High School      2      0.31          52.01      0.31          52.01
##                         Doctorate Degree     99     15.33          67.34     15.33          67.34
##       High School Diploma/GED/12th Grade     59      9.13          76.47      9.13          76.47
##                           Masters Degree    148     22.91          99.38     22.91          99.38
##                  Prefer to self-describe      4      0.62         100.00      0.62         100.00
##                                     &lt;NA&gt;      0                               0.00         100.00
##                                    Total    646    100.00         100.00    100.00         100.00</code></pre>
<pre class="r"><code>#Employment Frequencies
summarytools::freq(crmisf$employ)</code></pre>
<pre><code>## Frequencies  
## crmisf$employ  
## Type: Integer  
## 
##               Freq   % Valid   % Valid Cum.   % Total   % Total Cum.
## ----------- ------ --------- -------------- --------- --------------
##           1    108     16.72          16.72     16.72          16.72
##           2    363     56.19          72.91     56.19          72.91
##           3    142     21.98          94.89     21.98          94.89
##           4     27      4.18          99.07      4.18          99.07
##           5      2      0.31          99.38      0.31          99.38
##           6      4      0.62         100.00      0.62         100.00
##        &lt;NA&gt;      0                               0.00         100.00
##       Total    646    100.00         100.00    100.00         100.00</code></pre>
<pre class="r"><code>crmisf &lt;- crmisf %&gt;%
  mutate (employ_rev = recode(employ,&#39;1&#39; = &quot;Student&quot;, &#39;2&#39; = &quot;Employed&quot;, &#39;3&#39; = &quot;Self-employed&quot;, &#39;4&#39; = &quot;Unemployed&quot;, &#39;5&#39; = &quot;Retired&quot;, &#39;6&#39; = &quot;Prefer to self-describe&quot;) %&gt;% 
  as.factor())
summarytools::freq(crmisf$employ_rev)</code></pre>
<pre><code>## Frequencies  
## crmisf$employ_rev  
## Type: Factor  
## 
##                                 Freq   % Valid   % Valid Cum.   % Total   % Total Cum.
## ----------------------------- ------ --------- -------------- --------- --------------
##                      Employed    363     56.19          56.19     56.19          56.19
##       Prefer to self-describe      4      0.62          56.81      0.62          56.81
##                       Retired      2      0.31          57.12      0.31          57.12
##                 Self-employed    142     21.98          79.10     21.98          79.10
##                       Student    108     16.72          95.82     16.72          95.82
##                    Unemployed     27      4.18         100.00      4.18         100.00
##                          &lt;NA&gt;      0                               0.00         100.00
##                         Total    646    100.00         100.00    100.00         100.00</code></pre>
<pre class="r"><code>#Reduce to Employed and Not Employed -- but check prefer to self-describe first
crmisf &lt;- crmisf %&gt;%
  mutate(employ_combined = ifelse(employ %in% c(1, 4, 5), &quot;Not Employed&quot;, &quot;Employed&quot;))
summarytools::freq(crmisf$employ_combined)</code></pre>
<pre><code>## Frequencies  
## crmisf$employ_combined  
## Type: Character  
## 
##                      Freq   % Valid   % Valid Cum.   % Total   % Total Cum.
## ------------------ ------ --------- -------------- --------- --------------
##           Employed    509     78.79          78.79     78.79          78.79
##       Not Employed    137     21.21         100.00     21.21         100.00
##               &lt;NA&gt;      0                               0.00         100.00
##              Total    646    100.00         100.00    100.00         100.00</code></pre>
<pre class="r"><code>#Marital Status Frequencies
summarytools::freq(crmisf$marital)</code></pre>
<pre><code>## Frequencies  
## crmisf$marital  
## Type: Integer  
## 
##               Freq   % Valid   % Valid Cum.   % Total   % Total Cum.
## ----------- ------ --------- -------------- --------- --------------
##           1    249     38.54          38.54     38.54          38.54
##           2     14      2.17          40.71      2.17          40.71
##           3    372     57.59          98.30     57.59          98.30
##           4      7      1.08          99.38      1.08          99.38
##           5      4      0.62         100.00      0.62         100.00
##        &lt;NA&gt;      0                               0.00         100.00
##       Total    646    100.00         100.00    100.00         100.00</code></pre>
<pre class="r"><code>crmisf &lt;- crmisf %&gt;%
  mutate (marital_rev = recode(marital,&#39;1&#39; = &quot;Single&quot;, &#39;2&#39; = &quot;In a domestic partership&quot;, &#39;3&#39; = &quot;Married&quot;, &#39;4&#39; = &quot;Widowed/Divorced/Separated&quot;, &#39;5&#39; = &quot;Prefer to self-describe&quot;) %&gt;% 
  as.factor())
summarytools::freq(crmisf$marital_rev)</code></pre>
<pre><code>## Frequencies  
## crmisf$marital_rev  
## Type: Factor  
## 
##                                    Freq   % Valid   % Valid Cum.   % Total   % Total Cum.
## -------------------------------- ------ --------- -------------- --------- --------------
##         In a domestic partership     14      2.17           2.17      2.17           2.17
##                          Married    372     57.59          59.75     57.59          59.75
##          Prefer to self-describe      4      0.62          60.37      0.62          60.37
##                           Single    249     38.54          98.92     38.54          98.92
##       Widowed/Divorced/Separated      7      1.08         100.00      1.08         100.00
##                             &lt;NA&gt;      0                               0.00         100.00
##                            Total    646    100.00         100.00    100.00         100.00</code></pre>
<pre class="r"><code>#Religion Frequencies
summarytools::freq(crmisf$religion)</code></pre>
<pre><code>## Frequencies  
## crmisf$religion  
## Type: Numeric  
## 
##               Freq   % Valid   % Valid Cum.   % Total   % Total Cum.
## ----------- ------ --------- -------------- --------- --------------
##           1     37      5.73           5.73      5.73           5.73
##           2     24      3.72           9.44      3.72           9.44
##           3    103     15.94          25.39     15.94          25.39
##           4    397     61.46          86.84     61.46          86.84
##           5     55      8.51          95.36      8.51          95.36
##           6     13      2.01          97.37      2.01          97.37
##           7      2      0.31          97.68      0.31          97.68
##           8      4      0.62          98.30      0.62          98.30
##           9      2      0.31          98.61      0.31          98.61
##          10      9      1.39         100.00      1.39         100.00
##        &lt;NA&gt;      0                               0.00         100.00
##       Total    646    100.00         100.00    100.00         100.00</code></pre>
<pre class="r"><code>crmisf &lt;- crmisf %&gt;%
  mutate (religion_rev = recode(religion,&#39;1&#39; =&quot;Atheism&quot;, &#39;2&#39;= &quot;Buddhism&quot;, &#39;3&#39; = &quot;Christianity&quot;, &#39;4&#39; = &quot;Hinduism&quot;, &#39;5&#39;= &quot;Islam&quot;,&#39;6&#39; = &quot;Jainism&quot;, &#39;7&#39; = &quot;Sikhism&quot;, &#39;8&#39; = &quot;Zoroastrianism&quot;, &#39;9&#39; = &quot;Prefer to self-describe&quot; , &#39;10&#39; = &quot;Prefer not to disclose&quot;) %&gt;% 
  as.factor())
summarytools::freq(crmisf$religion_rev)</code></pre>
<pre><code>## Frequencies  
## crmisf$religion_rev  
## Type: Factor  
## 
##                                 Freq   % Valid   % Valid Cum.   % Total   % Total Cum.
## ----------------------------- ------ --------- -------------- --------- --------------
##                       Atheism     37      5.73           5.73      5.73           5.73
##                      Buddhism     24      3.72           9.44      3.72           9.44
##                  Christianity    103     15.94          25.39     15.94          25.39
##                      Hinduism    397     61.46          86.84     61.46          86.84
##                         Islam     55      8.51          95.36      8.51          95.36
##                       Jainism     13      2.01          97.37      2.01          97.37
##        Prefer not to disclose      9      1.39          98.76      1.39          98.76
##       Prefer to self-describe      2      0.31          99.07      0.31          99.07
##                       Sikhism      2      0.31          99.38      0.31          99.38
##                Zoroastrianism      4      0.62         100.00      0.62         100.00
##                          &lt;NA&gt;      0                               0.00         100.00
##                         Total    646    100.00         100.00    100.00         100.00</code></pre>
<pre class="r"><code>##For condition - create variable &quot;condition&quot; in .csv before import

crmisf$condition &lt;- as.factor(crmisf$condition)</code></pre>
<p>#Discernment Headline Ratings</p>
<pre class="r"><code>##Pre-test ratings

crmisf &lt;- crmisf %&gt;%
mutate(pre_true_reliable = pre1_true_reliable + pre2_true_reliable + pre3_true_reliable + pre4_true_reliable + pre5_true_reliable + pre6_true_reliable + pre7_true_reliable + pre8_true_reliable)

crmisf &lt;- crmisf %&gt;%
mutate(pre_true_conf = pre1_true_conf + pre2_true_conf + pre3_true_conf + pre4_true_conf + pre5_true_conf + pre6_true_conf + pre7_true_conf + pre8_true_conf)

crmisf &lt;- crmisf %&gt;%
mutate(pre_true_share = pre1_true_share + pre2_true_share + pre3_true_share + pre4_true_share + pre5_true_share + pre6_true_share + pre7_true_share + pre8_true_share)

crmisf &lt;- crmisf %&gt;%
mutate(pre_false_reliable = pre9_false_reliable + pre10_false_reliable + pre11_false_reliable + pre12_false_reliable + pre13_false_reliable + pre14_false_reliable + pre15_false_reliable + pre16_false_reliable)

crmisf &lt;- crmisf %&gt;%
mutate(pre_false_conf = pre9_false_conf + pre10_false_conf + pre11_false_conf + 
pre12_false_conf + pre13_false_conf + pre14_false_conf + pre15_false_conf + pre16_false_conf)

crmisf &lt;- crmisf %&gt;%
mutate(pre_false_share = pre9_false_share + pre10_false_share + pre11_false_share + pre12_false_share + pre13_false_share + pre14_false_share +  pre15_false_share + pre16_false_share)

##post-test ratings

crmisf &lt;- crmisf %&gt;%
mutate(post_true_reliable = post1_true_reliable + post2_true_reliable + post3_true_reliable + post4_true_reliable + post5_true_reliable + post6_true_reliable + post7_true_reliable + post8_true_reliable)

crmisf &lt;- crmisf %&gt;%
mutate(post_true_conf = post1_true_conf + post2_true_conf + post3_true_conf + post4_true_conf + post5_true_conf + post6_true_conf + post7_true_conf + post8_true_conf)

crmisf &lt;- crmisf %&gt;%
mutate(post_true_share = post1_true_share + post2_true_share + post3_true_share + post4_true_share + post5_true_share + post6_true_share + post7_true_share + post8_true_share)

crmisf &lt;- crmisf %&gt;%
mutate(post_false_reliable = post9_false_reliable + post10_false_reliable + post11_false_reliable + post12_false_reliable + post13_false_reliable + post14_false_reliable + post15_false_reliable + post16_false_reliable)

crmisf &lt;- crmisf %&gt;%
mutate(post_false_conf = post9_false_conf + post10_false_conf + post11_false_conf + post12_false_conf + post13_false_conf + post14_false_conf + post15_false_conf + post16_false_conf)

crmisf &lt;- crmisf %&gt;%
mutate(post_false_share = post9_false_share + post10_false_share + post11_false_share + post12_false_share + post13_false_share + post14_false_share + post15_false_share + post16_false_share)

#Combined Pre-test Post-Test
crmisf &lt;- crmisf %&gt;%
mutate(true_reliable = pre1_true_reliable + pre2_true_reliable + pre3_true_reliable + pre4_true_reliable + pre5_true_reliable + pre6_true_reliable + pre7_true_reliable + pre8_true_reliable + post1_true_reliable + post2_true_reliable + post3_true_reliable + post4_true_reliable + post5_true_reliable + post6_true_reliable + post7_true_reliable + post8_true_reliable)

crmisf &lt;- crmisf %&gt;%
mutate(true_conf = pre1_true_conf + pre2_true_conf + pre3_true_conf + pre4_true_conf + pre5_true_conf + pre6_true_conf + pre7_true_conf + pre8_true_conf + post1_true_conf + post2_true_conf + post3_true_conf + post4_true_conf + post5_true_conf + post6_true_conf + post7_true_conf + post8_true_conf)

crmisf &lt;- crmisf %&gt;%
mutate(true_share = pre1_true_share + pre2_true_share + pre3_true_share + pre4_true_share + pre5_true_share + pre6_true_share + pre7_true_share + pre8_true_share + post1_true_share + post2_true_share + post3_true_share + post4_true_share + post5_true_share + post6_true_share + post7_true_share + post8_true_share)

crmisf &lt;- crmisf %&gt;%
mutate(false_reliable = pre9_false_reliable + pre10_false_reliable + pre11_false_reliable + pre12_false_reliable + pre13_false_reliable + pre14_false_reliable + pre15_false_reliable + pre16_false_reliable + post9_false_reliable + post10_false_reliable + post11_false_reliable + post12_false_reliable + post13_false_reliable + post14_false_reliable + post15_false_reliable + post16_false_reliable)

crmisf &lt;- crmisf %&gt;%
mutate(false_conf = pre9_false_conf + pre10_false_conf + pre11_false_conf + 
pre12_false_conf + pre13_false_conf + pre14_false_conf + pre15_false_conf + pre16_false_conf + post9_false_conf + post10_false_conf + post11_false_conf + post12_false_conf + post13_false_conf + post14_false_conf + post15_false_conf + post16_false_conf)

crmisf &lt;- crmisf %&gt;%
mutate(false_share = pre9_false_share + pre10_false_share + pre11_false_share + pre12_false_share + pre13_false_share + pre14_false_share +  pre15_false_share + pre16_false_share + post9_false_share + post10_false_share + post11_false_share + post12_false_share + post13_false_share + post14_false_share + post15_false_share + post16_false_share)

colnames(crmisf)</code></pre>
<pre><code>##   [1] &quot;X&quot;                       &quot;PID&quot;                    
##   [3] &quot;Start.Date&quot;              &quot;End.Date&quot;               
##   [5] &quot;Response.Type&quot;           &quot;IP.Address&quot;             
##   [7] &quot;Progress&quot;                &quot;Duration..in.seconds.&quot;  
##   [9] &quot;Finished&quot;                &quot;Recorded.Date&quot;          
##  [11] &quot;Response.ID&quot;             &quot;Recipient.Last.Name&quot;    
##  [13] &quot;Recipient.First.Name&quot;    &quot;Recipient.Email&quot;        
##  [15] &quot;External.Data.Reference&quot; &quot;Location.Latitude&quot;      
##  [17] &quot;Location.Longitude&quot;      &quot;Distribution.Channel&quot;   
##  [19] &quot;User.Language&quot;           &quot;Q_RecaptchaScore&quot;       
##  [21] &quot;consent&quot;                 &quot;nationality&quot;            
##  [23] &quot;nationality_text&quot;        &quot;pre1_true_reliable&quot;     
##  [25] &quot;pre1_true_conf&quot;          &quot;pre1_true_share&quot;        
##  [27] &quot;pre2_true_reliable&quot;      &quot;pre2_true_conf&quot;         
##  [29] &quot;pre2_true_share&quot;         &quot;pre3_true_reliable&quot;     
##  [31] &quot;pre3_true_conf&quot;          &quot;pre3_true_share&quot;        
##  [33] &quot;pre4_true_reliable&quot;      &quot;pre4_true_conf&quot;         
##  [35] &quot;pre4_true_share&quot;         &quot;pre5_true_reliable&quot;     
##  [37] &quot;pre5_true_conf&quot;          &quot;pre5_true_share&quot;        
##  [39] &quot;pre6_true_reliable&quot;      &quot;pre6_true_conf&quot;         
##  [41] &quot;pre6_true_share&quot;         &quot;pre7_true_reliable&quot;     
##  [43] &quot;pre7_true_conf&quot;          &quot;pre7_true_share&quot;        
##  [45] &quot;pre8_true_reliable&quot;      &quot;pre8_true_conf&quot;         
##  [47] &quot;pre8_true_share&quot;         &quot;pre9_false_reliable&quot;    
##  [49] &quot;pre9_false_conf&quot;         &quot;pre9_false_share&quot;       
##  [51] &quot;pre10_false_reliable&quot;    &quot;pre10_false_conf&quot;       
##  [53] &quot;pre10_false_share&quot;       &quot;pre11_false_reliable&quot;   
##  [55] &quot;pre11_false_conf&quot;        &quot;pre11_false_share&quot;      
##  [57] &quot;pre12_false_reliable&quot;    &quot;pre12_false_conf&quot;       
##  [59] &quot;pre12_false_share&quot;       &quot;pre13_false_reliable&quot;   
##  [61] &quot;pre13_false_conf&quot;        &quot;pre13_false_share&quot;      
##  [63] &quot;pre14_false_reliable&quot;    &quot;pre14_false_conf&quot;       
##  [65] &quot;pre14_false_share&quot;       &quot;pre15_false_reliable&quot;   
##  [67] &quot;pre15_false_conf&quot;        &quot;pre15_false_share&quot;      
##  [69] &quot;pre16_false_reliable&quot;    &quot;pre16_false_conf&quot;       
##  [71] &quot;pre16_false_share&quot;       &quot;prompt1&quot;                
##  [73] &quot;prompt2&quot;                 &quot;prompt3&quot;                
##  [75] &quot;prompt4&quot;                 &quot;prompt5&quot;                
##  [77] &quot;prompt6&quot;                 &quot;prompt7&quot;                
##  [79] &quot;prompt8&quot;                 &quot;prompt9&quot;                
##  [81] &quot;prompt10&quot;                &quot;prompt11&quot;               
##  [83] &quot;prompt12&quot;                &quot;prompt13&quot;               
##  [85] &quot;prompt14&quot;                &quot;prompt15&quot;               
##  [87] &quot;depict&quot;                  &quot;decs1&quot;                  
##  [89] &quot;decs2_r&quot;                 &quot;decs3&quot;                  
##  [91] &quot;decs4&quot;                   &quot;decs5&quot;                  
##  [93] &quot;decs6&quot;                   &quot;decs7&quot;                  
##  [95] &quot;decs8_r&quot;                 &quot;decs9&quot;                  
##  [97] &quot;decs10_r&quot;                &quot;decs11&quot;                 
##  [99] &quot;decs12&quot;                  &quot;cse1&quot;                   
## [101] &quot;cse2&quot;                    &quot;cse3_r&quot;                 
## [103] &quot;cse4&quot;                    &quot;cse5&quot;                   
## [105] &quot;cse6_r&quot;                  &quot;mach1&quot;                  
## [107] &quot;mach2&quot;                   &quot;mach3&quot;                  
## [109] &quot;mach4&quot;                   &quot;mach5&quot;                  
## [111] &quot;mach6&quot;                   &quot;mach7&quot;                  
## [113] &quot;narc1&quot;                   &quot;narc2&quot;                  
## [115] &quot;narc3&quot;                   &quot;narc4&quot;                  
## [117] &quot;narc5&quot;                   &quot;narc6&quot;                  
## [119] &quot;narc7&quot;                   &quot;psy1&quot;                   
## [121] &quot;psy2&quot;                    &quot;psy3&quot;                   
## [123] &quot;psy4&quot;                    &quot;psy5&quot;                   
## [125] &quot;psy6&quot;                    &quot;psy7&quot;                   
## [127] &quot;sadism1&quot;                 &quot;sadism2&quot;                
## [129] &quot;sadism3&quot;                 &quot;sadism4&quot;                
## [131] &quot;sadism5&quot;                 &quot;sadism6&quot;                
## [133] &quot;sadism7&quot;                 &quot;attention1&quot;             
## [135] &quot;pi1&quot;                     &quot;pi2&quot;                    
## [137] &quot;pi3&quot;                     &quot;pi4&quot;                    
## [139] &quot;pi5&quot;                     &quot;pi6&quot;                    
## [141] &quot;pi7&quot;                     &quot;pi8&quot;                    
## [143] &quot;pi9&quot;                     &quot;pi10&quot;                   
## [145] &quot;pi11&quot;                    &quot;pi_self&quot;                
## [147] &quot;attention2&quot;              &quot;post1_true_reliable&quot;    
## [149] &quot;post1_true_conf&quot;         &quot;post1_true_share&quot;       
## [151] &quot;post2_true_reliable&quot;     &quot;post2_true_conf&quot;        
## [153] &quot;post2_true_share&quot;        &quot;post3_true_reliable&quot;    
## [155] &quot;post3_true_conf&quot;         &quot;post3_true_share&quot;       
## [157] &quot;post4_true_reliable&quot;     &quot;post4_true_conf&quot;        
## [159] &quot;post4_true_share&quot;        &quot;post5_true_reliable&quot;    
## [161] &quot;post5_true_conf&quot;         &quot;post5_true_share&quot;       
## [163] &quot;post6_true_reliable&quot;     &quot;post6_true_conf&quot;        
## [165] &quot;post6_true_share&quot;        &quot;post7_true_reliable&quot;    
## [167] &quot;post7_true_conf&quot;         &quot;post7_true_share&quot;       
## [169] &quot;post8_true_reliable&quot;     &quot;post8_true_conf&quot;        
## [171] &quot;post8_true_share&quot;        &quot;post9_false_reliable&quot;   
## [173] &quot;post9_false_conf&quot;        &quot;post9_false_share&quot;      
## [175] &quot;post10_false_reliable&quot;   &quot;post10_false_conf&quot;      
## [177] &quot;post10_false_share&quot;      &quot;post11_false_reliable&quot;  
## [179] &quot;post11_false_conf&quot;       &quot;post11_false_share&quot;     
## [181] &quot;post12_false_reliable&quot;   &quot;post12_false_conf&quot;      
## [183] &quot;post12_false_share&quot;      &quot;post13_false_reliable&quot;  
## [185] &quot;post13_false_conf&quot;       &quot;post13_false_share&quot;     
## [187] &quot;post14_false_reliable&quot;   &quot;post14_false_conf&quot;      
## [189] &quot;post14_false_share&quot;      &quot;post15_false_reliable&quot;  
## [191] &quot;post15_false_conf&quot;       &quot;post15_false_share&quot;     
## [193] &quot;post16_false_reliable&quot;   &quot;post16_false_conf&quot;      
## [195] &quot;post16_false_share&quot;      &quot;age&quot;                    
## [197] &quot;gender&quot;                  &quot;gender_text&quot;            
## [199] &quot;edu&quot;                     &quot;edu_text&quot;               
## [201] &quot;employ&quot;                  &quot;employ_text&quot;            
## [203] &quot;marital&quot;                 &quot;marital_text&quot;           
## [205] &quot;religion&quot;                &quot;religion_text&quot;          
## [207] &quot;ses&quot;                     &quot;score&quot;                  
## [209] &quot;attention&quot;               &quot;decep_total&quot;            
## [211] &quot;cse_total&quot;               &quot;mach_total&quot;             
## [213] &quot;narc_total&quot;              &quot;psych_total&quot;            
## [215] &quot;sadism_total&quot;            &quot;pi_total&quot;               
## [217] &quot;pi_cultural_total&quot;       &quot;pi_obedience_total&quot;     
## [219] &quot;pi_selfreport&quot;           &quot;Prompt.1&quot;               
## [221] &quot;Prompt.2&quot;                &quot;Prompt.3&quot;               
## [223] &quot;Prompt.4&quot;                &quot;Prompt.5&quot;               
## [225] &quot;Prompt.6&quot;                &quot;Prompt.7&quot;               
## [227] &quot;Prompt.8&quot;                &quot;Prompt.9&quot;               
## [229] &quot;Prompt.10&quot;               &quot;Prompt.11&quot;              
## [231] &quot;Prompt.12&quot;               &quot;Prompt.13&quot;              
## [233] &quot;Prompt.14&quot;               &quot;Prompt.15&quot;              
## [235] &quot;X.1&quot;                     &quot;condition&quot;              
## [237] &quot;nationality_rev&quot;         &quot;nationality_rev2&quot;       
## [239] &quot;gender_rev&quot;              &quot;edu_rev&quot;                
## [241] &quot;employ_rev&quot;              &quot;employ_combined&quot;        
## [243] &quot;marital_rev&quot;             &quot;religion_rev&quot;           
## [245] &quot;pre_true_reliable&quot;       &quot;pre_true_conf&quot;          
## [247] &quot;pre_true_share&quot;          &quot;pre_false_reliable&quot;     
## [249] &quot;pre_false_conf&quot;          &quot;pre_false_share&quot;        
## [251] &quot;post_true_reliable&quot;      &quot;post_true_conf&quot;         
## [253] &quot;post_true_share&quot;         &quot;post_false_reliable&quot;    
## [255] &quot;post_false_conf&quot;         &quot;post_false_share&quot;       
## [257] &quot;true_reliable&quot;           &quot;true_conf&quot;              
## [259] &quot;true_share&quot;              &quot;false_reliable&quot;         
## [261] &quot;false_conf&quot;              &quot;false_share&quot;</code></pre>
<p>#inter-rater reliabilities of misinfo creation task</p>
<div id="descriptives" class="section level1">
<h1>Descriptives</h1>
<pre class="r"><code>psych::describe(crmisf)</code></pre>
<pre><code>## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf</code></pre>
<pre><code>## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf</code></pre>
<pre><code>##                         vars   n    mean      sd median trimmed    mad     min
## X                          1 646  323.99  187.29 323.50  323.76 240.18    1.00
## PID*                       2   0     NaN      NA     NA     NaN     NA     Inf
## Start.Date                 3   0     NaN      NA     NA     NaN     NA     Inf
## End.Date                   4   0     NaN      NA     NA     NaN     NA     Inf
## Response.Type              5 646    0.00    0.00   0.00    0.00   0.00    0.00
## IP.Address                 6   0     NaN      NA     NA     NaN     NA     Inf
## Progress                   7 646  100.00    0.00 100.00  100.00   0.00  100.00
## Duration..in.seconds.      8 646 1387.85 1947.60 967.50 1094.25 686.44  120.00
## Finished                   9 646    1.00    0.00   1.00    1.00   0.00    1.00
## Recorded.Date             10   0     NaN      NA     NA     NaN     NA     Inf
## Response.ID               11   0     NaN      NA     NA     NaN     NA     Inf
## Recipient.Last.Name       12   0     NaN      NA     NA     NaN     NA     Inf
## Recipient.First.Name      13   0     NaN      NA     NA     NaN     NA     Inf
## Recipient.Email           14   0     NaN      NA     NA     NaN     NA     Inf
## External.Data.Reference   15   0     NaN      NA     NA     NaN     NA     Inf
## Location.Latitude         16 646   22.80    6.55  25.59   23.23   4.56    8.10
## Location.Longitude        17 646   77.71   15.24  77.56   78.40   3.94 -118.24
## Distribution.Channel      18   0     NaN      NA     NA     NaN     NA     Inf
## User.Language             19   0     NaN      NA     NA     NaN     NA     Inf
## Q_RecaptchaScore          20 146    0.80    0.21   0.80    0.82   0.30    0.20
## consent                   21 646    1.00    0.00   1.00    1.00   0.00    1.00
## nationality               22 646    1.00    0.00   1.00    1.00   0.00    1.00
## nationality_text          23   0     NaN      NA     NA     NaN     NA     Inf
## pre1_true_reliable        24 646    5.57    1.22   6.00    5.68   1.48    1.00
## pre1_true_conf            25 646    5.62    1.28   6.00    5.77   1.48    1.00
## pre1_true_share           26 646    5.49    1.43   6.00    5.68   1.48    1.00
## pre2_true_reliable        27 645    5.41    1.35   6.00    5.55   1.48    1.00
## pre2_true_conf            28 642    5.52    1.25   6.00    5.63   1.48    1.00
## pre2_true_share           29 641    5.41    1.46   6.00    5.60   1.48    1.00
## pre3_true_reliable        30 645    5.11    1.40   5.00    5.23   1.48    1.00
## pre3_true_conf            31 644    5.35    1.24   5.00    5.43   1.48    1.00
## pre3_true_share           32 638    5.05    1.60   5.00    5.23   1.48    1.00
## pre4_true_reliable        33 643    5.09    1.45   5.00    5.22   1.48    1.00
## pre4_true_conf            34 644    5.40    1.32   6.00    5.54   1.48    1.00
## pre4_true_share           35 640    5.08    1.60   5.00    5.26   1.48    1.00
## pre5_true_reliable        36 645    5.06    1.47   5.00    5.19   1.48    1.00
## pre5_true_conf            37 644    5.40    1.33   6.00    5.54   1.48    1.00
## pre5_true_share           38 640    5.08    1.58   5.00    5.26   1.48    1.00
## pre6_true_reliable        39 645    5.01    1.63   5.00    5.18   1.48    1.00
## pre6_true_conf            40 642    5.38    1.38   6.00    5.54   1.48    1.00
## pre6_true_share           41 643    4.97    1.71   5.00    5.17   1.48    1.00
## pre7_true_reliable        42 644    5.04    1.51   5.00    5.17   1.48    1.00
## pre7_true_conf            43 642    5.30    1.36   6.00    5.44   1.48    1.00
## pre7_true_share           44 640    4.98    1.65   5.00    5.16   1.48    1.00
## pre8_true_reliable        45 643    5.73    1.26   6.00    5.88   1.48    1.00
## pre8_true_conf            46 641    5.77    1.22   6.00    5.93   1.48    1.00
## pre8_true_share           47 639    5.64    1.36   6.00    5.83   1.48    1.00
## pre9_false_reliable       48 643    5.23    1.45   5.00    5.37   1.48    1.00
## pre9_false_conf           49 639    5.47    1.28   6.00    5.60   1.48    1.00
## pre9_false_share          50 638    5.12    1.64   5.00    5.32   1.48    1.00
## pre10_false_reliable      51 645    5.11    1.55   5.00    5.29   1.48    1.00
## pre10_false_conf          52 642    5.55    1.25   6.00    5.65   1.48    1.00
## pre10_false_share         53 640    5.16    1.64   5.00    5.38   1.48    1.00
## pre11_false_reliable      54 645    4.71    1.82   5.00    4.89   1.48    1.00
## pre11_false_conf          55 642    5.29    1.45   6.00    5.46   1.48    1.00
## pre11_false_share         56 640    4.76    1.85   5.00    4.93   1.48    1.00
## pre12_false_reliable      57 644    4.95    1.59   5.00    5.11   1.48    1.00
## pre12_false_conf          58 643    5.38    1.32   6.00    5.51   1.48    1.00
## pre12_false_share         59 645    5.03    1.76   5.00    5.26   1.48    1.00
## pre13_false_reliable      60 645    5.12    1.65   5.00    5.32   1.48    1.00
## pre13_false_conf          61 645    5.49    1.37   6.00    5.65   1.48    1.00
## pre13_false_share         62 640    5.20    1.67   6.00    5.44   1.48    1.00
## pre14_false_reliable      63 642    4.54    1.95   5.00    4.67   1.48    1.00
## pre14_false_conf          64 644    5.37    1.54   6.00    5.59   1.48    1.00
## pre14_false_share         65 642    4.62    1.99   5.00    4.77   1.48    1.00
## pre15_false_reliable      66 643    5.05    1.52   5.00    5.20   1.48    1.00
## pre15_false_conf          67 641    5.35    1.29   6.00    5.46   1.48    1.00
## pre15_false_share         68 640    5.12    1.56   5.00    5.30   1.48    1.00
## pre16_false_reliable      69 642    5.13    1.51   5.00    5.29   1.48    1.00
## pre16_false_conf          70 640    5.33    1.33   6.00    5.46   1.48    1.00
## pre16_false_share         71 639    5.14    1.63   5.00    5.33   1.48    1.00
## prompt1*                  72 646    2.25    5.44   1.00    1.00   0.00    1.00
## prompt2*                  73 646    2.42    6.04   1.00    1.00   0.00    1.00
## prompt3*                  74 646    2.83    7.36   1.00    1.00   0.00    1.00
## prompt4*                  75 646    2.59    6.57   1.00    1.00   0.00    1.00
## prompt5*                  76 646    2.72    7.10   1.00    1.00   0.00    1.00
## prompt6*                  77 646    2.31    5.76   1.00    1.00   0.00    1.00
## prompt7*                  78 646    2.31    5.71   1.00    1.00   0.00    1.00
## prompt8*                  79 646    2.31    5.65   1.00    1.00   0.00    1.00
## prompt9*                  80 646    3.02    7.98   1.00    1.00   0.00    1.00
## prompt10*                 81 646    2.42    6.00   1.00    1.00   0.00    1.00
## prompt11*                 82 646    2.62    6.80   1.00    1.00   0.00    1.00
## prompt12*                 83 646    2.31    5.72   1.00    1.00   0.00    1.00
## prompt13*                 84 646    2.61    6.79   1.00    1.00   0.00    1.00
## prompt14*                 85 646    2.21    5.51   1.00    1.00   0.00    1.00
## prompt15                  86   0     NaN      NA     NA     NaN     NA     Inf
## depict                    87 200    1.00    0.00   1.00    1.00   0.00    1.00
## decs1                     88 646    3.71    1.14   4.00    3.85   1.48    1.00
## decs2_r                   89 646    3.74    1.14   4.00    3.86   1.48    1.00
## decs3                     90 645    3.94    0.94   4.00    4.04   1.48    1.00
## decs4                     91 646    3.90    0.97   4.00    4.01   1.48    1.00
## decs5                     92 644    3.79    1.05   4.00    3.91   1.48    1.00
## decs6                     93 646    3.46    1.29   4.00    3.58   1.48    1.00
## decs7                     94 646    3.59    1.17   4.00    3.69   1.48    1.00
## decs8_r                   95 646    3.84    1.12   4.00    3.97   1.48    1.00
## decs9                     96 646    3.64    1.14   4.00    3.75   1.48    1.00
## decs10_r                  97 646    3.97    1.02   4.00    4.12   1.48    1.00
## decs11                    98 646    3.31    1.36   4.00    3.39   1.48    1.00
## decs12                    99 646    3.80    1.09   4.00    3.93   1.48    1.00
## cse1                     100 645    4.70    1.16   5.00    4.85   1.48    1.00
## cse2                     101 645    4.81    1.06   5.00    4.94   1.48    1.00
## cse3_r                   102 645    3.80    1.66   4.00    3.88   1.48    1.00
## cse4                     103 646    4.58    1.14   5.00    4.69   1.48    1.00
## cse5                     104 645    4.73    1.09   5.00    4.85   1.48    1.00
## cse6_r                   105 646    4.38    1.29   5.00    4.50   1.48    1.00
## mach1                    106 646    4.05    0.95   4.00    4.18   1.48    1.00
## mach2                    107 646    3.87    0.98   4.00    3.98   1.48    1.00
## mach3                    108 646    3.93    0.92   4.00    4.03   1.48    1.00
## mach4                    109 646    3.89    0.99   4.00    4.01   1.48    1.00
## mach5                    110 646    3.93    0.93   4.00    4.04   1.48    1.00
## mach6                    111 646    3.67    1.09   4.00    3.77   1.48    1.00
## mach7                    112 646    4.05    0.91   4.00    4.17   1.48    1.00
## narc1                    113 646    3.78    1.11   4.00    3.89   1.48    1.00
## narc2                    114 646    3.73    1.04   4.00    3.81   1.48    1.00
## narc3                    115 646    3.64    1.12   4.00    3.72   1.48    1.00
## narc4                    116 645    3.68    1.08   4.00    3.76   1.48    1.00
## narc5                    117 646    3.95    0.90   4.00    4.03   1.48    1.00
## narc6                    118 646    3.64    1.18   4.00    3.75   1.48    1.00
## narc7                    119 646    3.36    1.34   4.00    3.45   1.48    1.00
## psy1                     120 646    3.29    1.35   4.00    3.37   1.48    1.00
## psy2                     121 646    3.49    1.23   4.00    3.59   1.48    1.00
## psy3                     122 646    3.15    1.39   3.00    3.19   1.48    1.00
## psy4                     123 646    3.55    1.19   4.00    3.65   1.48    1.00
## psy5                     124 646    3.14    1.41   3.00    3.17   1.48    1.00
## psy6                     125 646    3.53    1.19   4.00    3.63   1.48    1.00
## psy7                     126 646    3.56    1.16   4.00    3.66   1.48    1.00
## sadism1                  127 645    3.41    1.27   4.00    3.51   1.48    1.00
## sadism2                  128 646    3.43    1.31   4.00    3.54   1.48    1.00
## sadism3                  129 645    3.55    1.23   4.00    3.66   1.48    1.00
## sadism4                  130 646    3.33    1.37   4.00    3.41   1.48    1.00
## sadism5                  131 646    3.52    1.24   4.00    3.64   1.48    1.00
## sadism6                  132 646    3.23    1.40   4.00    3.29   1.48    1.00
## sadism7                  133 646    3.58    1.19   4.00    3.69   1.48    1.00
## attention1               134 646    4.61    0.91   5.00    4.86   0.00    1.00
## pi1                      135 643    4.32    2.10   5.00    4.40   2.97    1.00
## pi2                      136 643    4.47    2.00   5.00    4.59   1.48    1.00
## pi3                      137 643    4.93    1.79   5.00    5.13   1.48    1.00
## pi4                      138 643    4.35    1.98   5.00    4.44   1.48    1.00
## pi5                      139 643    4.96    1.76   5.00    5.15   1.48    1.00
## pi6                      140 643    5.08    1.68   5.00    5.28   1.48    1.00
## pi7                      141 643    5.47    1.56   6.00    5.70   1.48    1.00
## pi8                      142 643    4.80    1.79   5.00    4.96   1.48    1.00
## pi9                      143 643    5.68    1.54   6.00    5.94   1.48    1.00
## pi10                     144 643    5.51    1.44   6.00    5.70   1.48    1.00
## pi11                     145 643    5.82    1.29   6.00    6.03   1.48    1.00
## pi_self                  146 646    4.94    1.44   5.00    5.01   1.48    1.00
## attention2               147 645  612.76   24.89 614.00  614.00   0.00   14.00
## post1_true_reliable      148 645    5.56    1.24   6.00    5.68   1.48    1.00
## post1_true_conf          149 643    5.63    1.23   6.00    5.76   1.48    1.00
## post1_true_share         150 641    5.52    1.42   6.00    5.71   1.48    1.00
## post2_true_reliable      151 644    5.31    1.41   5.00    5.46   1.48    1.00
## post2_true_conf          152 643    5.54    1.24   6.00    5.67   1.48    1.00
## post2_true_share         153 643    5.28    1.51   6.00    5.46   1.48    1.00
## post3_true_reliable      154 646    5.04    1.49   5.00    5.17   1.48    1.00
## post3_true_conf          155 645    5.35    1.28   6.00    5.46   1.48    1.00
## post3_true_share         156 643    4.96    1.64   5.00    5.14   1.48    1.00
## post4_true_reliable      157 644    5.07    1.46   5.00    5.19   1.48    1.00
## post4_true_conf          158 644    5.42    1.25   6.00    5.52   1.48    1.00
## post4_true_share         159 643    5.04    1.58   5.00    5.20   1.48    1.00
## post5_true_reliable      160 645    4.97    1.59   5.00    5.11   1.48    1.00
## post5_true_conf          161 644    5.41    1.24   6.00    5.50   1.48    1.00
## post5_true_share         162 645    5.05    1.66   5.00    5.25   1.48    1.00
## post6_true_reliable      163 645    4.87    1.63   5.00    5.02   1.48    1.00
## post6_true_conf          164 643    5.39    1.34   6.00    5.53   1.48    1.00
## post6_true_share         165 643    4.95    1.76   5.00    5.14   1.48    1.00
## post7_true_reliable      166 644    5.00    1.55   5.00    5.13   1.48    1.00
## post7_true_conf          167 641    5.32    1.33   6.00    5.45   1.48    1.00
## post7_true_share         168 639    5.01    1.64   5.00    5.19   1.48    1.00
## post8_true_reliable      169 646    5.68    1.21   6.00    5.82   1.48    1.00
## post8_true_conf          170 645    5.70    1.22   6.00    5.84   1.48    1.00
## post8_true_share         171 641    5.61    1.36   6.00    5.80   1.48    1.00
## post9_false_reliable     172 643    5.16    1.49   5.00    5.31   1.48    1.00
## post9_false_conf         173 643    5.45    1.26   6.00    5.58   1.48    1.00
## post9_false_share        174 633    5.15    1.61   5.00    5.35   1.48    1.00
## post10_false_reliable    175 645    5.13    1.61   5.00    5.32   1.48    1.00
## post10_false_conf        176 645    5.56    1.25   6.00    5.69   1.48    1.00
## post10_false_share       177 644    5.11    1.70   5.00    5.34   1.48    1.00
## post11_false_reliable    178 644    4.69    1.78   5.00    4.85   1.48    1.00
## post11_false_conf        179 642    5.35    1.38   6.00    5.51   1.48    1.00
## post11_false_share       180 639    4.82    1.85   5.00    5.02   1.48    1.00
## post12_false_reliable    181 645    4.88    1.63   5.00    5.04   1.48    1.00
## post12_false_conf        182 645    5.41    1.31   6.00    5.55   1.48    1.00
## post12_false_share       183 645    4.95    1.71   5.00    5.15   1.48    1.00
## post13_false_reliable    184 645    5.10    1.63   5.00    5.30   1.48    1.00
## post13_false_conf        185 644    5.49    1.32   6.00    5.63   1.48    1.00
## post13_false_share       186 643    5.09    1.72   5.00    5.31   1.48    1.00
## post14_false_reliable    187 644    4.53    1.89   5.00    4.66   1.48    1.00
## post14_false_conf        188 644    5.37    1.47   6.00    5.57   1.48    1.00
## post14_false_share       189 644    4.67    1.93   5.00    4.84   1.48    1.00
## post15_false_reliable    190 644    5.06    1.57   5.00    5.23   1.48    1.00
## post15_false_conf        191 644    5.44    1.29   6.00    5.56   1.48    1.00
## post15_false_share       192 642    5.09    1.61   5.00    5.27   1.48    1.00
## post16_false_reliable    193 643    5.05    1.64   5.00    5.24   1.48    1.00
## post16_false_conf        194 643    5.37    1.34   6.00    5.51   1.48    1.00
## post16_false_share       195 642    5.09    1.68   5.00    5.30   1.48    1.00
## age                      196 646   30.48    7.00  30.00   30.15   7.41   18.00
## gender                   197 646    1.42    0.55   1.00    1.38   0.00    1.00
## gender_text*             198 646    1.00    0.09   1.00    1.00   0.00    1.00
## edu                      199 646    4.31    1.12   4.00    4.37   1.48    1.00
## edu_text*                200 646    1.01    0.15   1.00    1.00   0.00    1.00
## employ                   201 646    2.17    0.81   2.00    2.13   0.00    1.00
## employ_text*             202 646    1.02    0.29   1.00    1.00   0.00    1.00
## marital                  203 646    2.23    1.00   3.00    2.26   0.00    1.00
## marital_text*            204 646    1.01    0.15   1.00    1.00   0.00    1.00
## religion                 205 646    3.85    1.29   4.00    3.85   0.00    1.00
## religion_text*           206 646    1.00    0.09   1.00    1.00   0.00    1.00
## ses                      207 646    6.07    1.98   6.00    6.02   1.48    1.00
## score                    208 145  680.99  106.00 677.00  681.97  91.92  194.00
## attention                209 646  596.62  336.76 728.00  625.03 174.21    1.00
## decep_total              210 646    9.09   13.94   2.00    6.27   0.00    1.00
## cse_total                211 646   37.57    8.66  40.00   38.25   8.90    8.00
## mach_total               212 646   24.54    3.73  25.00   24.55   2.97    7.00
## narc_total               213 646   26.74    5.24  27.00   27.00   5.93    7.00
## psych_total              214 646   24.93    6.67  25.00   25.29   7.41    7.00
## sadism_total             215 646   23.56    7.44  24.00   23.87   8.90    7.00
## pi_total                 216 646   30.99   12.22  29.00   29.90   8.90    7.00
## pi_cultural_total        217 646   48.30   20.42  53.00   49.34  18.53    0.00
## pi_obedience_total       218 646   25.65    7.93  27.00   26.27   7.41    0.00
## pi_selfreport            219 646   26.34   13.40  31.00   27.27   8.90    0.00
## Prompt.1*                220 646    5.41    2.46   6.00    5.56   1.48    1.00
## Prompt.2*                221 646    1.40    0.59   1.00    1.31   0.00    1.00
## Prompt.3*                222 646    1.64    0.90   1.00    1.55   0.00    1.00
## Prompt.4*                223 646    1.64    0.90   1.00    1.55   0.00    1.00
## Prompt.5*                224 646    1.40    0.59   1.00    1.31   0.00    1.00
## Prompt.6*                225 646    1.64    0.90   1.00    1.55   0.00    1.00
## Prompt.7*                226 646    1.40    0.59   1.00    1.31   0.00    1.00
## Prompt.8*                227 646    1.64    0.90   1.00    1.55   0.00    1.00
## Prompt.9*                228 646    1.40    0.59   1.00    1.31   0.00    1.00
## Prompt.10*               229 646    1.64    0.90   1.00    1.55   0.00    1.00
## Prompt.11*               230 646    1.40    0.59   1.00    1.31   0.00    1.00
## Prompt.12*               231 646    1.40    0.59   1.00    1.31   0.00    1.00
## Prompt.13*               232 646    1.64    0.90   1.00    1.55   0.00    1.00
## Prompt.14*               233 646    1.64    0.90   1.00    1.55   0.00    1.00
## Prompt.15*               234 646    1.40    0.59   1.00    1.31   0.00    1.00
## X.1*                     235 646    1.29    0.45   1.00    1.24   0.00    1.00
## condition*               236 646    2.00    0.83   2.00    2.00   1.48    1.00
## nationality_rev*         237 646    1.00    0.00   1.00    1.00   0.00    1.00
## nationality_rev2         238   0     NaN      NA     NA     NaN     NA     Inf
## gender_rev*              239 646    2.60    1.95   1.00    2.50   0.00    1.00
## edu_rev*                 240 646    3.48    1.77   2.00    3.41   1.48    1.00
## employ_rev*              241 646    2.55    1.82   1.00    2.39   0.00    1.00
## employ_combined*         242 646    1.21    0.41   1.00    1.14   0.00    1.00
## marital_rev*             243 646    2.79    1.02   2.00    2.75   0.00    1.00
## religion_rev*            244 646    3.83    1.20   4.00    3.85   0.00    1.00
## pre_true_reliable        245 635   41.98    7.56  42.00   42.03   7.41    8.00
## pre_true_conf            246 630   43.74    7.39  44.00   43.97   7.41    8.00
## pre_true_share           247 614   41.64    8.94  42.00   42.14   8.90    8.00
## pre_false_reliable       248 631   39.89    9.19  40.00   40.22   8.90    8.00
## pre_false_conf           249 620   43.24    7.57  44.00   43.49   7.41    8.00
## pre_false_share          250 611   40.24   10.31  42.00   41.05  10.38    8.00
## post_true_reliable       251 639   41.53    8.11  42.00   41.69   7.41    8.00
## post_true_conf           252 628   43.86    7.46  44.00   44.16   7.41    8.00
## post_true_share          253 621   41.43    9.56  43.00   42.13   8.90    8.00
## post_false_reliable      254 634   39.62    9.65  41.00   40.07  10.38    8.00
## post_false_conf          255 631   43.51    7.71  44.00   43.93   5.93    8.00
## post_false_share         256 615   39.87   10.99  42.00   40.82  10.38    8.00
## true_reliable            257 628   83.52   14.93  84.00   83.55  14.83   16.00
## true_conf                258 614   87.70   14.17  88.00   88.07  13.34   16.00
## true_share               259 594   83.05   17.88  85.00   84.14  16.31   16.00
## false_reliable           260 619   79.49   18.29  81.00   80.24  19.27   16.00
## false_conf               261 606   86.85   14.77  88.00   87.43  11.86   16.00
## false_share              262 587   80.13   20.81  83.00   81.77  19.27   16.00
##                              max    range   skew kurtosis    se
## X                         648.00   647.00   0.01    -1.20  7.37
## PID*                        -Inf     -Inf     NA       NA    NA
## Start.Date                  -Inf     -Inf     NA       NA    NA
## End.Date                    -Inf     -Inf     NA       NA    NA
## Response.Type               0.00     0.00    NaN      NaN  0.00
## IP.Address                  -Inf     -Inf     NA       NA    NA
## Progress                  100.00     0.00    NaN      NaN  0.00
## Duration..in.seconds.   33545.00 33425.00   9.33   126.72 76.63
## Finished                    1.00     0.00    NaN      NaN  0.00
## Recorded.Date               -Inf     -Inf     NA       NA    NA
## Response.ID                 -Inf     -Inf     NA       NA    NA
## Recipient.Last.Name         -Inf     -Inf     NA       NA    NA
## Recipient.First.Name        -Inf     -Inf     NA       NA    NA
## Recipient.Email             -Inf     -Inf     NA       NA    NA
## External.Data.Reference     -Inf     -Inf     NA       NA    NA
## Location.Latitude          53.48    45.39  -0.33    -0.10  0.26
## Location.Longitude        121.00   239.24  -9.68   109.63  0.60
## Distribution.Channel        -Inf     -Inf     NA       NA    NA
## User.Language               -Inf     -Inf     NA       NA    NA
## Q_RecaptchaScore            1.00     0.80  -0.69    -0.53  0.02
## consent                     1.00     0.00    NaN      NaN  0.00
## nationality                 1.00     0.00    NaN      NaN  0.00
## nationality_text            -Inf     -Inf     NA       NA    NA
## pre1_true_reliable          7.00     6.00  -0.78     0.51  0.05
## pre1_true_conf              7.00     6.00  -0.95     0.78  0.05
## pre1_true_share             7.00     6.00  -0.90     0.34  0.06
## pre2_true_reliable          7.00     6.00  -0.78     0.25  0.05
## pre2_true_conf              7.00     6.00  -0.73     0.31  0.05
## pre2_true_share             7.00     6.00  -0.98     0.62  0.06
## pre3_true_reliable          7.00     6.00  -0.74     0.28  0.06
## pre3_true_conf              7.00     6.00  -0.66     0.42  0.05
## pre3_true_share             7.00     6.00  -0.82     0.12  0.06
## pre4_true_reliable          7.00     6.00  -0.70     0.11  0.06
## pre4_true_conf              7.00     6.00  -0.92     0.82  0.05
## pre4_true_share             7.00     6.00  -0.87     0.17  0.06
## pre5_true_reliable          7.00     6.00  -0.79     0.32  0.06
## pre5_true_conf              7.00     6.00  -0.81     0.34  0.05
## pre5_true_share             7.00     6.00  -0.82     0.14  0.06
## pre6_true_reliable          7.00     6.00  -0.77    -0.06  0.06
## pre6_true_conf              7.00     6.00  -0.83     0.31  0.05
## pre6_true_share             7.00     6.00  -0.80    -0.13  0.07
## pre7_true_reliable          7.00     6.00  -0.67     0.02  0.06
## pre7_true_conf              7.00     6.00  -0.72     0.01  0.05
## pre7_true_share             7.00     6.00  -0.77    -0.08  0.07
## pre8_true_reliable          7.00     6.00  -0.97     0.63  0.05
## pre8_true_conf              7.00     6.00  -1.00     0.81  0.05
## pre8_true_share             7.00     6.00  -1.11     1.06  0.05
## pre9_false_reliable         7.00     6.00  -0.80     0.31  0.06
## pre9_false_conf             7.00     6.00  -0.91     0.76  0.05
## pre9_false_share            7.00     6.00  -0.88     0.14  0.07
## pre10_false_reliable        7.00     6.00  -0.86     0.32  0.06
## pre10_false_conf            7.00     6.00  -0.66     0.04  0.05
## pre10_false_share           7.00     6.00  -0.96     0.41  0.06
## pre11_false_reliable        7.00     6.00  -0.68    -0.54  0.07
## pre11_false_conf            7.00     6.00  -0.93     0.56  0.06
## pre11_false_share           7.00     6.00  -0.65    -0.62  0.07
## pre12_false_reliable        7.00     6.00  -0.74     0.05  0.06
## pre12_false_conf            7.00     6.00  -0.83     0.48  0.05
## pre12_false_share           7.00     6.00  -0.87    -0.08  0.07
## pre13_false_reliable        7.00     6.00  -0.89     0.14  0.06
## pre13_false_conf            7.00     6.00  -0.92     0.54  0.05
## pre13_false_share           7.00     6.00  -0.96     0.26  0.07
## pre14_false_reliable        7.00     6.00  -0.56    -0.84  0.08
## pre14_false_conf            7.00     6.00  -1.05     0.64  0.06
## pre14_false_share           7.00     6.00  -0.62    -0.83  0.08
## pre15_false_reliable        7.00     6.00  -0.73    -0.04  0.06
## pre15_false_conf            7.00     6.00  -0.65     0.08  0.05
## pre15_false_share           7.00     6.00  -0.81     0.11  0.06
## pre16_false_reliable        7.00     6.00  -0.78     0.09  0.06
## pre16_false_conf            7.00     6.00  -0.81     0.46  0.05
## pre16_false_share           7.00     6.00  -0.85     0.06  0.06
## prompt1*                   38.00    37.00   4.71    22.16  0.21
## prompt2*                   41.00    40.00   4.56    20.55  0.24
## prompt3*                   48.00    47.00   4.34    18.51  0.29
## prompt4*                   44.00    43.00   4.45    19.52  0.26
## prompt5*                   45.00    44.00   4.40    18.82  0.28
## prompt6*                   40.00    39.00   4.72    22.06  0.23
## prompt7*                   40.00    39.00   4.68    21.78  0.22
## prompt8*                   39.00    38.00   4.65    21.35  0.22
## prompt9*                   48.00    47.00   4.20    17.11  0.31
## prompt10*                  42.00    41.00   4.66    21.77  0.24
## prompt11*                  46.00    45.00   4.55    20.53  0.27
## prompt12*                  40.00    39.00   4.72    22.09  0.23
## prompt13*                  46.00    45.00   4.57    20.71  0.27
## prompt14*                  40.00    39.00   4.96    24.60  0.22
## prompt15                    -Inf     -Inf     NA       NA    NA
## depict                      1.00     0.00    NaN      NaN  0.00
## decs1                       5.00     4.00  -0.88     0.10  0.05
## decs2_r                     5.00     4.00  -0.70    -0.30  0.05
## decs3                       5.00     4.00  -0.71     0.09  0.04
## decs4                       5.00     4.00  -0.83     0.47  0.04
## decs5                       5.00     4.00  -0.75     0.04  0.04
## decs6                       5.00     4.00  -0.54    -0.78  0.05
## decs7                       5.00     4.00  -0.58    -0.54  0.05
## decs8_r                     5.00     4.00  -0.73    -0.36  0.04
## decs9                       5.00     4.00  -0.73    -0.22  0.04
## decs10_r                    5.00     4.00  -0.91     0.32  0.04
## decs11                      5.00     4.00  -0.39    -1.04  0.05
## decs12                      5.00     4.00  -0.84     0.13  0.04
## cse1                        6.00     5.00  -0.98     0.73  0.05
## cse2                        6.00     5.00  -0.88     0.61  0.04
## cse3_r                      6.00     5.00  -0.29    -1.21  0.07
## cse4                        6.00     5.00  -0.70     0.20  0.04
## cse5                        6.00     5.00  -0.87     0.67  0.04
## cse6_r                      6.00     5.00  -0.59    -0.38  0.05
## mach1                       5.00     4.00  -1.11     1.17  0.04
## mach2                       5.00     4.00  -0.79     0.25  0.04
## mach3                       5.00     4.00  -0.78     0.46  0.04
## mach4                       5.00     4.00  -0.71    -0.11  0.04
## mach5                       5.00     4.00  -0.82     0.47  0.04
## mach6                       5.00     4.00  -0.69    -0.15  0.04
## mach7                       5.00     4.00  -1.02     1.08  0.04
## narc1                       5.00     4.00  -0.67    -0.38  0.04
## narc2                       5.00     4.00  -0.53    -0.40  0.04
## narc3                       5.00     4.00  -0.49    -0.59  0.04
## narc4                       5.00     4.00  -0.52    -0.46  0.04
## narc5                       5.00     4.00  -0.67     0.12  0.04
## narc6                       5.00     4.00  -0.58    -0.55  0.05
## narc7                       5.00     4.00  -0.35    -1.08  0.05
## psy1                        5.00     4.00  -0.36    -1.11  0.05
## psy2                        5.00     4.00  -0.54    -0.66  0.05
## psy3                        5.00     4.00  -0.22    -1.24  0.05
## psy4                        5.00     4.00  -0.58    -0.57  0.05
## psy5                        5.00     4.00  -0.24    -1.27  0.06
## psy6                        5.00     4.00  -0.56    -0.59  0.05
## psy7                        5.00     4.00  -0.55    -0.49  0.05
## sadism1                     5.00     4.00  -0.48    -0.85  0.05
## sadism2                     5.00     4.00  -0.50    -0.86  0.05
## sadism3                     5.00     4.00  -0.58    -0.65  0.05
## sadism4                     5.00     4.00  -0.37    -1.13  0.05
## sadism5                     5.00     4.00  -0.58    -0.65  0.05
## sadism6                     5.00     4.00  -0.35    -1.18  0.06
## sadism7                     5.00     4.00  -0.66    -0.48  0.05
## attention1                  5.00     4.00  -2.54     5.81  0.04
## pi1                         7.00     6.00  -0.33    -1.27  0.08
## pi2                         7.00     6.00  -0.45    -1.02  0.08
## pi3                         7.00     6.00  -0.68    -0.49  0.07
## pi4                         7.00     6.00  -0.33    -1.11  0.08
## pi5                         7.00     6.00  -0.72    -0.36  0.07
## pi6                         7.00     6.00  -0.75    -0.21  0.07
## pi7                         7.00     6.00  -1.12     0.70  0.06
## pi8                         7.00     6.00  -0.56    -0.64  0.07
## pi9                         7.00     6.00  -1.24     0.97  0.06
## pi10                        7.00     6.00  -0.99     0.65  0.06
## pi11                        7.00     6.00  -1.36     1.94  0.05
## pi_self                     7.00     6.00  -0.32    -0.31  0.06
## attention2                614.00   600.00 -22.37   522.41  0.98
## post1_true_reliable         7.00     6.00  -0.77     0.37  0.05
## post1_true_conf             7.00     6.00  -0.96     0.97  0.05
## post1_true_share            7.00     6.00  -1.05     0.93  0.06
## post2_true_reliable         7.00     6.00  -0.73     0.18  0.06
## post2_true_conf             7.00     6.00  -0.89     0.78  0.05
## post2_true_share            7.00     6.00  -0.89     0.38  0.06
## post3_true_reliable         7.00     6.00  -0.68     0.02  0.06
## post3_true_conf             7.00     6.00  -0.76     0.41  0.05
## post3_true_share            7.00     6.00  -0.75    -0.09  0.06
## post4_true_reliable         7.00     6.00  -0.69     0.05  0.06
## post4_true_conf             7.00     6.00  -0.74     0.41  0.05
## post4_true_share            7.00     6.00  -0.76     0.03  0.06
## post5_true_reliable         7.00     6.00  -0.67    -0.13  0.06
## post5_true_conf             7.00     6.00  -0.67     0.28  0.05
## post5_true_share            7.00     6.00  -0.84     0.07  0.07
## post6_true_reliable         7.00     6.00  -0.70    -0.14  0.06
## post6_true_conf             7.00     6.00  -0.85     0.51  0.05
## post6_true_share            7.00     6.00  -0.75    -0.27  0.07
## post7_true_reliable         7.00     6.00  -0.67    -0.02  0.06
## post7_true_conf             7.00     6.00  -0.78     0.38  0.05
## post7_true_share            7.00     6.00  -0.76    -0.01  0.06
## post8_true_reliable         7.00     6.00  -0.90     0.55  0.05
## post8_true_conf             7.00     6.00  -1.02     1.17  0.05
## post8_true_share            7.00     6.00  -1.13     1.17  0.05
## post9_false_reliable        7.00     6.00  -0.76     0.18  0.06
## post9_false_conf            7.00     6.00  -0.90     0.82  0.05
## post9_false_share           7.00     6.00  -0.89     0.21  0.06
## post10_false_reliable       7.00     6.00  -0.88     0.17  0.06
## post10_false_conf           7.00     6.00  -0.89     0.76  0.05
## post10_false_share          7.00     6.00  -0.92     0.12  0.07
## post11_false_reliable       7.00     6.00  -0.68    -0.46  0.07
## post11_false_conf           7.00     6.00  -1.00     0.88  0.05
## post11_false_share          7.00     6.00  -0.77    -0.44  0.07
## post12_false_reliable       7.00     6.00  -0.72    -0.07  0.06
## post12_false_conf           7.00     6.00  -0.94     0.88  0.05
## post12_false_share          7.00     6.00  -0.82    -0.08  0.07
## post13_false_reliable       7.00     6.00  -0.87     0.14  0.06
## post13_false_conf           7.00     6.00  -0.93     0.78  0.05
## post13_false_share          7.00     6.00  -0.85    -0.09  0.07
## post14_false_reliable       7.00     6.00  -0.54    -0.77  0.07
## post14_false_conf           7.00     6.00  -1.01     0.75  0.06
## post14_false_share          7.00     6.00  -0.63    -0.73  0.08
## post15_false_reliable       7.00     6.00  -0.84     0.11  0.06
## post15_false_conf           7.00     6.00  -0.85     0.65  0.05
## post15_false_share          7.00     6.00  -0.80     0.02  0.06
## post16_false_reliable       7.00     6.00  -0.80    -0.05  0.06
## post16_false_conf           7.00     6.00  -0.93     0.73  0.05
## post16_false_share          7.00     6.00  -0.87    -0.04  0.07
## age                        54.00    36.00   0.47    -0.05  0.28
## gender                      5.00     4.00   1.41     4.84  0.02
## gender_text*                3.00     2.00  20.34   433.06  0.00
## edu                         7.00     6.00  -0.30     0.02  0.04
## edu_text*                   4.00     3.00  17.34   317.17  0.01
## employ                      6.00     5.00   1.00     2.67  0.03
## employ_text*                6.00     5.00  13.88   203.62  0.01
## marital                     5.00     4.00  -0.26    -1.47  0.04
## marital_text*               4.00     3.00  17.34   317.17  0.01
## religion                   10.00     9.00   1.32     7.36  0.05
## religion_text*              3.00     2.00  20.34   433.06  0.00
## ses                        10.00     9.00   0.13    -0.65  0.08
## score                    1000.00   806.00  -0.47     2.42  8.80
## attention                 994.00   993.00  -0.99    -0.59 13.25
## decep_total                51.00    50.00   1.49     0.49  0.55
## cse_total                  51.00    43.00  -0.61    -0.57  0.34
## mach_total                 36.00    29.00  -0.23     1.23  0.15
## narc_total                 35.00    28.00  -0.51    -0.02  0.21
## psych_total                35.00    28.00  -0.42    -0.56  0.26
## sadism_total               35.00    28.00  -0.29    -0.80  0.29
## pi_total                   77.00    70.00   0.93     0.97  0.48
## pi_cultural_total          77.00    77.00  -0.49    -0.90  0.80
## pi_obedience_total         42.00    42.00  -0.63     0.18  0.31
## pi_selfreport              42.00    42.00  -0.75    -0.91  0.53
## Prompt.1*                   9.00     8.00  -0.64    -0.68  0.10
## Prompt.2*                   3.00     2.00   1.18     0.37  0.02
## Prompt.3*                   3.00     2.00   0.78    -1.32  0.04
## Prompt.4*                   3.00     2.00   0.78    -1.32  0.04
## Prompt.5*                   3.00     2.00   1.18     0.37  0.02
## Prompt.6*                   3.00     2.00   0.78    -1.32  0.04
## Prompt.7*                   3.00     2.00   1.18     0.37  0.02
## Prompt.8*                   3.00     2.00   0.78    -1.32  0.04
## Prompt.9*                   3.00     2.00   1.18     0.37  0.02
## Prompt.10*                  3.00     2.00   0.78    -1.32  0.04
## Prompt.11*                  3.00     2.00   1.18     0.37  0.02
## Prompt.12*                  3.00     2.00   1.18     0.37  0.02
## Prompt.13*                  3.00     2.00   0.78    -1.32  0.04
## Prompt.14*                  3.00     2.00   0.78    -1.32  0.04
## Prompt.15*                  3.00     2.00   1.18     0.37  0.02
## X.1*                        2.00     1.00   0.92    -1.16  0.02
## condition*                  3.00     2.00   0.00    -1.56  0.03
## nationality_rev*            1.00     0.00    NaN      NaN  0.00
## nationality_rev2            -Inf     -Inf     NA       NA    NA
## gender_rev*                 5.00     4.00   0.41    -1.83  0.08
## edu_rev*                    7.00     6.00   0.35    -1.48  0.07
## employ_rev*                 6.00     5.00   0.46    -1.53  0.07
## employ_combined*            2.00     1.00   1.41    -0.02  0.02
## marital_rev*                5.00     4.00   0.37    -1.60  0.04
## religion_rev*              10.00     9.00   0.75     5.88  0.05
## pre_true_reliable          56.00    48.00  -0.23     0.06  0.30
## pre_true_conf              56.00    48.00  -0.47     0.50  0.29
## pre_true_share             56.00    48.00  -0.62     0.51  0.36
## pre_false_reliable         56.00    48.00  -0.34    -0.28  0.37
## pre_false_conf             56.00    48.00  -0.47     0.45  0.30
## pre_false_share            56.00    48.00  -0.69     0.09  0.42
## post_true_reliable         56.00    48.00  -0.33     0.13  0.32
## post_true_conf             56.00    48.00  -0.56     0.81  0.30
## post_true_share            56.00    48.00  -0.78     0.75  0.38
## post_false_reliable        56.00    48.00  -0.45    -0.21  0.38
## post_false_conf            56.00    48.00  -0.74     1.05  0.31
## post_false_share           56.00    48.00  -0.76     0.07  0.44
## true_reliable             112.00    96.00  -0.18     0.08  0.60
## true_conf                 112.00    96.00  -0.44     0.72  0.57
## true_share                112.00    96.00  -0.68     0.65  0.73
## false_reliable            112.00    96.00  -0.39    -0.21  0.74
## false_conf                112.00    96.00  -0.57     0.86  0.60
## false_share               112.00    96.00  -0.72     0.14  0.86</code></pre>
<p>#Reliabilities</p>
<pre class="r"><code>traitdecep &lt;- crmisf %&gt;% select(starts_with(&quot;decs&quot;))
View(traitdecep)
psych::alpha(traitdecep)</code></pre>
<pre><code>## 
## Reliability analysis   
## Call: psych::alpha(x = traitdecep)
## 
##   raw_alpha std.alpha G6(smc) average_r S/N    ase mean   sd median_r
##       0.86      0.86    0.88      0.34 6.3 0.0079  3.7 0.71     0.36
## 
##     95% confidence boundaries 
##          lower alpha upper
## Feldt     0.85  0.86  0.88
## Duhachek  0.85  0.86  0.88
## 
##  Reliability if an item is dropped:
##          raw_alpha std.alpha G6(smc) average_r S/N alpha se var.r med.r
## decs1         0.85      0.85    0.86      0.33 5.5   0.0089 0.018  0.33
## decs2_r       0.86      0.86    0.88      0.36 6.2   0.0079 0.021  0.37
## decs3         0.85      0.85    0.87      0.34 5.7   0.0085 0.023  0.37
## decs4         0.85      0.85    0.87      0.34 5.6   0.0086 0.023  0.33
## decs5         0.85      0.85    0.87      0.34 5.6   0.0087 0.022  0.33
## decs6         0.85      0.85    0.86      0.33 5.5   0.0090 0.017  0.33
## decs7         0.85      0.85    0.86      0.34 5.6   0.0088 0.020  0.33
## decs8_r       0.86      0.86    0.88      0.36 6.2   0.0078 0.020  0.37
## decs9         0.84      0.84    0.86      0.33 5.4   0.0090 0.018  0.33
## decs10_r      0.86      0.86    0.88      0.37 6.4   0.0078 0.018  0.37
## decs11        0.84      0.85    0.86      0.33 5.5   0.0091 0.017  0.33
## decs12        0.85      0.85    0.87      0.34 5.7   0.0085 0.022  0.36
## 
##  Item statistics 
##            n raw.r std.r r.cor r.drop mean   sd
## decs1    646  0.70  0.69  0.67   0.62  3.7 1.14
## decs2_r  646  0.50  0.51  0.44   0.39  3.7 1.14
## decs3    645  0.62  0.64  0.60   0.55  3.9 0.94
## decs4    646  0.65  0.66  0.61   0.57  3.9 0.97
## decs5    644  0.67  0.67  0.63   0.59  3.8 1.05
## decs6    646  0.72  0.70  0.68   0.63  3.5 1.29
## decs7    646  0.69  0.68  0.66   0.61  3.6 1.17
## decs8_r  646  0.48  0.49  0.43   0.37  3.8 1.12
## decs9    646  0.73  0.72  0.70   0.65  3.6 1.14
## decs10_r 646  0.44  0.46  0.40   0.34  4.0 1.02
## decs11   646  0.74  0.71  0.70   0.65  3.3 1.36
## decs12   646  0.63  0.63  0.59   0.54  3.8 1.09
## 
## Non missing response frequency for each item
##             1    2    3    4    5 miss
## decs1    0.07 0.07 0.18 0.41 0.26    0
## decs2_r  0.05 0.10 0.21 0.34 0.30    0
## decs3    0.01 0.07 0.20 0.41 0.31    0
## decs4    0.02 0.06 0.20 0.42 0.29    0
## decs5    0.03 0.09 0.20 0.40 0.27    0
## decs6    0.11 0.12 0.20 0.32 0.24    0
## decs7    0.06 0.13 0.20 0.35 0.25    0
## decs8_r  0.03 0.11 0.18 0.33 0.35    0
## decs9    0.06 0.11 0.19 0.40 0.24    0
## decs10_r 0.02 0.07 0.17 0.37 0.36    0
## decs11   0.15 0.13 0.21 0.28 0.23    0
## decs12   0.05 0.08 0.19 0.40 0.29    0</code></pre>
<pre class="r"><code>cse &lt;- crmisf %&gt;% select(starts_with(&quot;cse&quot;) &amp; !starts_with(&quot;cse_total&quot;))
View(cse)
psych::alpha(cse)</code></pre>
<pre><code>## 
## Reliability analysis   
## Call: psych::alpha(x = cse)
## 
##   raw_alpha std.alpha G6(smc) average_r S/N   ase mean   sd median_r
##       0.76      0.79     0.8      0.38 3.7 0.015  4.5 0.85     0.39
## 
##     95% confidence boundaries 
##          lower alpha upper
## Feldt     0.73  0.76  0.79
## Duhachek  0.73  0.76  0.79
## 
##  Reliability if an item is dropped:
##        raw_alpha std.alpha G6(smc) average_r S/N alpha se var.r med.r
## cse1        0.70      0.73    0.73      0.35 2.7    0.019 0.029  0.35
## cse2        0.72      0.75    0.75      0.37 3.0    0.018 0.031  0.35
## cse3_r      0.81      0.81    0.79      0.46 4.3    0.012 0.019  0.50
## cse4        0.70      0.73    0.72      0.35 2.6    0.019 0.028  0.35
## cse5        0.71      0.74    0.75      0.36 2.8    0.019 0.044  0.32
## cse6_r      0.72      0.77    0.76      0.40 3.3    0.018 0.049  0.50
## 
##  Item statistics 
##          n raw.r std.r r.cor r.drop mean  sd
## cse1   645  0.73  0.77  0.73   0.60  4.7 1.2
## cse2   645  0.67  0.71  0.65   0.53  4.8 1.1
## cse3_r 645  0.58  0.50  0.35   0.30  3.8 1.7
## cse4   646  0.75  0.78  0.75   0.62  4.6 1.1
## cse5   645  0.73  0.75  0.68   0.60  4.7 1.1
## cse6_r 646  0.70  0.66  0.56   0.52  4.4 1.3
## 
## Non missing response frequency for each item
##           1    2    3    4    5    6 miss
## cse1   0.02 0.04 0.08 0.21 0.39 0.26    0
## cse2   0.00 0.04 0.06 0.23 0.38 0.29    0
## cse3_r 0.12 0.17 0.12 0.16 0.27 0.17    0
## cse4   0.01 0.05 0.09 0.28 0.34 0.23    0
## cse5   0.01 0.04 0.07 0.26 0.37 0.26    0
## cse6_r 0.02 0.08 0.13 0.24 0.31 0.22    0</code></pre>
<pre class="r"><code>mach &lt;- crmisf %&gt;% select(starts_with(&quot;mach&quot;) &amp; !starts_with(&quot;mach_total&quot;))
View(mach)
psych::alpha(mach)</code></pre>
<pre><code>## 
## Reliability analysis   
## Call: psych::alpha(x = mach)
## 
##   raw_alpha std.alpha G6(smc) average_r S/N   ase mean   sd median_r
##       0.81      0.81    0.79      0.38 4.3 0.011  3.9 0.66     0.39
## 
##     95% confidence boundaries 
##          lower alpha upper
## Feldt     0.79  0.81  0.83
## Duhachek  0.79  0.81  0.83
## 
##  Reliability if an item is dropped:
##       raw_alpha std.alpha G6(smc) average_r S/N alpha se  var.r med.r
## mach1      0.80      0.80    0.77      0.40 3.9    0.012 0.0017  0.40
## mach2      0.78      0.79    0.76      0.38 3.7    0.013 0.0020  0.39
## mach3      0.78      0.78    0.75      0.37 3.6    0.013 0.0019  0.37
## mach4      0.78      0.78    0.75      0.37 3.6    0.013 0.0021  0.37
## mach5      0.78      0.78    0.75      0.38 3.6    0.013 0.0019  0.38
## mach6      0.80      0.80    0.77      0.39 3.9    0.012 0.0019  0.40
## mach7      0.79      0.79    0.76      0.38 3.7    0.013 0.0019  0.38
## 
##  Item statistics 
##         n raw.r std.r r.cor r.drop mean   sd
## mach1 646  0.64  0.64  0.54   0.49  4.0 0.95
## mach2 646  0.69  0.69  0.62   0.56  3.9 0.98
## mach3 646  0.71  0.72  0.66   0.59  3.9 0.92
## mach4 646  0.72  0.72  0.65   0.59  3.9 0.99
## mach5 646  0.70  0.70  0.64   0.57  3.9 0.93
## mach6 646  0.67  0.65  0.56   0.50  3.7 1.09
## mach7 646  0.67  0.68  0.60   0.54  4.1 0.91
## 
## Non missing response frequency for each item
##          1    2    3    4    5 miss
## mach1 0.02 0.05 0.14 0.43 0.36    0
## mach2 0.02 0.08 0.19 0.43 0.28    0
## mach3 0.02 0.06 0.20 0.45 0.29    0
## mach4 0.02 0.09 0.19 0.39 0.31    0
## mach5 0.02 0.07 0.18 0.46 0.29    0
## mach6 0.05 0.10 0.21 0.40 0.24    0
## mach7 0.02 0.04 0.15 0.44 0.35    0</code></pre>
<pre class="r"><code>narc &lt;- crmisf %&gt;% select(starts_with(&quot;narc&quot;) &amp; !starts_with(&quot;narc_total&quot;))
View(narc)
psych::alpha(narc)</code></pre>
<pre><code>## 
## Reliability analysis   
## Call: psych::alpha(x = narc)
## 
##   raw_alpha std.alpha G6(smc) average_r S/N    ase mean   sd median_r
##       0.87      0.87    0.86       0.5 6.9 0.0077  3.7 0.84     0.48
## 
##     95% confidence boundaries 
##          lower alpha upper
## Feldt     0.85  0.87  0.89
## Duhachek  0.86  0.87  0.89
## 
##  Reliability if an item is dropped:
##       raw_alpha std.alpha G6(smc) average_r S/N alpha se  var.r med.r
## narc1      0.84      0.85    0.83      0.48 5.5   0.0095 0.0028  0.47
## narc2      0.85      0.86    0.84      0.50 6.1   0.0088 0.0049  0.48
## narc3      0.85      0.85    0.83      0.49 5.8   0.0091 0.0045  0.48
## narc4      0.85      0.85    0.83      0.49 5.8   0.0091 0.0044  0.48
## narc5      0.86      0.86    0.84      0.51 6.3   0.0085 0.0033  0.51
## narc6      0.84      0.85    0.83      0.48 5.6   0.0095 0.0035  0.47
## narc7      0.87      0.87    0.85      0.52 6.6   0.0079 0.0025  0.51
## 
##  Item statistics 
##         n raw.r std.r r.cor r.drop mean  sd
## narc1 646  0.80  0.80  0.77   0.72  3.8 1.1
## narc2 646  0.73  0.74  0.68   0.63  3.7 1.0
## narc3 646  0.77  0.77  0.72   0.67  3.6 1.1
## narc4 645  0.77  0.77  0.72   0.68  3.7 1.1
## narc5 646  0.68  0.71  0.64   0.59  4.0 0.9
## narc6 646  0.80  0.80  0.77   0.71  3.6 1.2
## narc7 646  0.71  0.69  0.60   0.57  3.4 1.3
## 
## Non missing response frequency for each item
##          1    2    3    4    5 miss
## narc1 0.03 0.11 0.20 0.34 0.31    0
## narc2 0.02 0.11 0.24 0.36 0.26    0
## narc3 0.04 0.13 0.24 0.33 0.26    0
## narc4 0.03 0.12 0.24 0.35 0.26    0
## narc5 0.01 0.06 0.21 0.43 0.30    0
## narc6 0.06 0.12 0.22 0.32 0.28    0
## narc7 0.12 0.16 0.20 0.26 0.26    0</code></pre>
<pre class="r"><code>psy &lt;- crmisf %&gt;% select(starts_with(&quot;psy&quot;) &amp; !starts_with(&quot;psych_total&quot;))
View(psy)
psych::alpha(psy)</code></pre>
<pre><code>## 
## Reliability analysis   
## Call: psych::alpha(x = psy)
## 
##   raw_alpha std.alpha G6(smc) average_r S/N   ase mean sd median_r
##       0.91      0.91     0.9       0.6  11 0.005  3.4  1      0.6
## 
##     95% confidence boundaries 
##          lower alpha upper
## Feldt      0.9  0.91  0.92
## Duhachek   0.9  0.91  0.92
## 
##  Reliability if an item is dropped:
##      raw_alpha std.alpha G6(smc) average_r S/N alpha se  var.r med.r
## psy1      0.90      0.90    0.88      0.59 8.7   0.0061 0.0029  0.59
## psy2      0.90      0.90    0.89      0.60 9.1   0.0058 0.0043  0.60
## psy3      0.89      0.89    0.88      0.59 8.5   0.0063 0.0026  0.58
## psy4      0.91      0.91    0.89      0.61 9.6   0.0056 0.0041  0.61
## psy5      0.90      0.89    0.88      0.59 8.5   0.0063 0.0025  0.59
## psy6      0.90      0.90    0.89      0.61 9.5   0.0056 0.0040  0.60
## psy7      0.91      0.91    0.90      0.62 9.9   0.0054 0.0028  0.61
## 
##  Item statistics 
##        n raw.r std.r r.cor r.drop mean  sd
## psy1 646  0.85  0.84  0.81   0.78  3.3 1.3
## psy2 646  0.81  0.81  0.77   0.73  3.5 1.2
## psy3 646  0.86  0.86  0.84   0.80  3.2 1.4
## psy4 646  0.77  0.78  0.72   0.69  3.5 1.2
## psy5 646  0.86  0.85  0.83   0.80  3.1 1.4
## psy6 646  0.78  0.79  0.73   0.70  3.5 1.2
## psy7 646  0.75  0.76  0.69   0.66  3.6 1.2
## 
## Non missing response frequency for each item
##         1    2    3    4    5 miss
## psy1 0.14 0.17 0.17 0.31 0.22    0
## psy2 0.09 0.13 0.22 0.34 0.23    0
## psy3 0.18 0.17 0.18 0.27 0.20    0
## psy4 0.07 0.13 0.20 0.36 0.23    0
## psy5 0.20 0.15 0.17 0.29 0.20    0
## psy6 0.08 0.13 0.22 0.35 0.23    0
## psy7 0.07 0.12 0.24 0.34 0.24    0</code></pre>
<pre class="r"><code>sadism &lt;- crmisf %&gt;% select(starts_with(&quot;sadism&quot;) &amp; !starts_with(&quot;sadism_total&quot;))
View(sadism)
psych::alpha(sadism)</code></pre>
<pre><code>## 
## Reliability analysis   
## Call: psych::alpha(x = sadism)
## 
##   raw_alpha std.alpha G6(smc) average_r S/N    ase mean sd median_r
##       0.91      0.91     0.9      0.59  10 0.0053  3.4  1     0.57
## 
##     95% confidence boundaries 
##          lower alpha upper
## Feldt      0.9  0.91  0.92
## Duhachek   0.9  0.91  0.92
## 
##  Reliability if an item is dropped:
##         raw_alpha std.alpha G6(smc) average_r S/N alpha se  var.r med.r
## sadism1      0.89      0.89    0.88      0.58 8.4   0.0064 0.0030  0.57
## sadism2      0.89      0.89    0.88      0.58 8.4   0.0064 0.0029  0.56
## sadism3      0.90      0.90    0.89      0.60 9.2   0.0059 0.0046  0.58
## sadism4      0.89      0.89    0.87      0.57 8.1   0.0067 0.0023  0.56
## sadism5      0.90      0.90    0.89      0.60 9.1   0.0059 0.0049  0.58
## sadism6      0.90      0.90    0.88      0.59 8.6   0.0062 0.0042  0.57
## sadism7      0.90      0.90    0.89      0.61 9.5   0.0058 0.0037  0.59
## 
##  Item statistics 
##           n raw.r std.r r.cor r.drop mean  sd
## sadism1 645  0.84  0.83  0.81   0.77  3.4 1.3
## sadism2 646  0.84  0.83  0.81   0.77  3.4 1.3
## sadism3 645  0.77  0.77  0.72   0.69  3.5 1.2
## sadism4 646  0.86  0.86  0.84   0.80  3.3 1.4
## sadism5 646  0.78  0.78  0.73   0.69  3.5 1.2
## sadism6 646  0.82  0.81  0.78   0.74  3.2 1.4
## sadism7 646  0.75  0.75  0.69   0.66  3.6 1.2
## 
## Non missing response frequency for each item
##            1    2    3    4    5 miss
## sadism1 0.11 0.15 0.19 0.34 0.22    0
## sadism2 0.12 0.13 0.20 0.31 0.24    0
## sadism3 0.08 0.13 0.19 0.34 0.25    0
## sadism4 0.14 0.16 0.17 0.28 0.24    0
## sadism5 0.09 0.13 0.19 0.35 0.24    0
## sadism6 0.18 0.13 0.17 0.30 0.21    0
## sadism7 0.07 0.13 0.17 0.39 0.23    0</code></pre>
<pre class="r"><code>polid&lt;- subset(crmisf, select=c(pi1, pi2, pi3, pi4, pi5, pi6, pi7, pi8, pi9, pi10, pi11))
View(polid)
psych::alpha(polid)</code></pre>
<pre><code>## 
## Reliability analysis   
## Call: psych::alpha(x = polid)
## 
##   raw_alpha std.alpha G6(smc) average_r S/N    ase mean  sd median_r
##       0.89      0.89     0.9      0.41 7.8 0.0066    5 1.2     0.41
## 
##     95% confidence boundaries 
##          lower alpha upper
## Feldt     0.87  0.89   0.9
## Duhachek  0.87  0.89   0.9
## 
##  Reliability if an item is dropped:
##      raw_alpha std.alpha G6(smc) average_r S/N alpha se var.r med.r
## pi1       0.87      0.87    0.88      0.41 7.0   0.0074 0.011  0.41
## pi2       0.87      0.87    0.89      0.41 7.0   0.0074 0.012  0.41
## pi3       0.88      0.88    0.89      0.42 7.1   0.0072 0.015  0.41
## pi4       0.87      0.87    0.88      0.41 6.9   0.0075 0.011  0.41
## pi5       0.87      0.87    0.89      0.41 6.8   0.0074 0.015  0.40
## pi6       0.87      0.87    0.88      0.40 6.7   0.0075 0.015  0.38
## pi7       0.88      0.88    0.90      0.43 7.6   0.0067 0.014  0.44
## pi8       0.88      0.88    0.89      0.42 7.3   0.0071 0.015  0.41
## pi9       0.88      0.88    0.89      0.42 7.3   0.0069 0.013  0.43
## pi10      0.88      0.88    0.89      0.41 7.1   0.0070 0.014  0.43
## pi11      0.88      0.88    0.88      0.42 7.3   0.0069 0.011  0.43
## 
##  Item statistics 
##        n raw.r std.r r.cor r.drop mean  sd
## pi1  643  0.74  0.70  0.68   0.65  4.3 2.1
## pi2  643  0.74  0.71  0.69   0.66  4.5 2.0
## pi3  643  0.69  0.68  0.63   0.61  4.9 1.8
## pi4  643  0.75  0.72  0.70   0.67  4.3 2.0
## pi5  643  0.74  0.74  0.71   0.67  5.0 1.8
## pi6  643  0.76  0.76  0.74   0.69  5.1 1.7
## pi7  643  0.56  0.58  0.51   0.47  5.5 1.6
## pi8  643  0.66  0.65  0.60   0.57  4.8 1.8
## pi9  643  0.62  0.65  0.61   0.54  5.7 1.5
## pi10 643  0.65  0.68  0.65   0.58  5.5 1.4
## pi11 643  0.60  0.64  0.62   0.53  5.8 1.3
## 
## Non missing response frequency for each item
##         1    2    3    4    5    6    7 miss
## pi1  0.16 0.11 0.07 0.11 0.17 0.20 0.18    0
## pi2  0.14 0.08 0.07 0.14 0.19 0.19 0.18    0
## pi3  0.07 0.05 0.09 0.17 0.15 0.25 0.22    0
## pi4  0.13 0.10 0.09 0.15 0.18 0.19 0.16    0
## pi5  0.06 0.06 0.07 0.16 0.19 0.24 0.22    0
## pi6  0.04 0.06 0.06 0.17 0.19 0.25 0.23    0
## pi7  0.03 0.03 0.05 0.12 0.17 0.30 0.31    0
## pi8  0.07 0.06 0.09 0.18 0.17 0.22 0.20    0
## pi9  0.03 0.02 0.04 0.12 0.14 0.24 0.41    0
## pi10 0.02 0.01 0.06 0.14 0.19 0.28 0.30    0
## pi11 0.01 0.01 0.04 0.08 0.18 0.31 0.37    0</code></pre>
<pre class="r"><code>pi_cult&lt;-subset(crmisf, select=c(pi1, pi2, pi3, pi4, pi5))
View(pi_cult)
psych::alpha(pi_cult)</code></pre>
<pre><code>## 
## Reliability analysis   
## Call: psych::alpha(x = pi_cult)
## 
##   raw_alpha std.alpha G6(smc) average_r S/N    ase mean  sd median_r
##       0.85      0.85    0.83      0.54 5.8 0.0089  4.6 1.5      0.5
## 
##     95% confidence boundaries 
##          lower alpha upper
## Feldt     0.84  0.85  0.87
## Duhachek  0.84  0.85  0.87
## 
##  Reliability if an item is dropped:
##     raw_alpha std.alpha G6(smc) average_r S/N alpha se  var.r med.r
## pi1      0.81      0.81    0.76      0.51 4.2   0.0123 0.0029  0.49
## pi2      0.81      0.81    0.77      0.52 4.3   0.0120 0.0072  0.49
## pi3      0.85      0.85    0.81      0.58 5.6   0.0095 0.0068  0.57
## pi4      0.81      0.81    0.77      0.52 4.3   0.0119 0.0066  0.50
## pi5      0.84      0.84    0.81      0.56 5.2   0.0101 0.0109  0.55
## 
##  Item statistics 
##       n raw.r std.r r.cor r.drop mean  sd
## pi1 643  0.85  0.84  0.80   0.73  4.3 2.1
## pi2 643  0.83  0.83  0.78   0.72  4.5 2.0
## pi3 643  0.71  0.73  0.61   0.57  4.9 1.8
## pi4 643  0.83  0.83  0.78   0.72  4.3 2.0
## pi5 643  0.74  0.76  0.66   0.61  5.0 1.8
## 
## Non missing response frequency for each item
##        1    2    3    4    5    6    7 miss
## pi1 0.16 0.11 0.07 0.11 0.17 0.20 0.18    0
## pi2 0.14 0.08 0.07 0.14 0.19 0.19 0.18    0
## pi3 0.07 0.05 0.09 0.17 0.15 0.25 0.22    0
## pi4 0.13 0.10 0.09 0.15 0.18 0.19 0.16    0
## pi5 0.06 0.06 0.07 0.16 0.19 0.24 0.22    0</code></pre>
<pre class="r"><code>pi_obed&lt;-subset(crmisf, select=c(pi6, pi7, pi8, pi9, pi10, pi11))
View(pi_obed)
psych::alpha(pi_obed)</code></pre>
<pre><code>## 
## Reliability analysis   
## Call: psych::alpha(x = pi_obed)
## 
##   raw_alpha std.alpha G6(smc) average_r S/N   ase mean  sd median_r
##       0.81      0.82    0.81      0.43 4.5 0.012  5.4 1.1     0.41
## 
##     95% confidence boundaries 
##          lower alpha upper
## Feldt     0.79  0.81  0.83
## Duhachek  0.79  0.81  0.83
## 
##  Reliability if an item is dropped:
##      raw_alpha std.alpha G6(smc) average_r S/N alpha se  var.r med.r
## pi6       0.77      0.78    0.77      0.42 3.6    0.015 0.0181  0.37
## pi7       0.80      0.81    0.80      0.46 4.3    0.013 0.0165  0.48
## pi8       0.81      0.82    0.80      0.48 4.5    0.012 0.0106  0.48
## pi9       0.77      0.78    0.76      0.42 3.6    0.014 0.0104  0.40
## pi10      0.77      0.77    0.75      0.41 3.4    0.015 0.0121  0.39
## pi11      0.77      0.78    0.74      0.41 3.5    0.014 0.0056  0.40
## 
##  Item statistics 
##        n raw.r std.r r.cor r.drop mean  sd
## pi6  643  0.77  0.76  0.69   0.64  5.1 1.7
## pi7  643  0.66  0.66  0.54   0.50  5.5 1.6
## pi8  643  0.65  0.62  0.50   0.45  4.8 1.8
## pi9  643  0.74  0.75  0.70   0.61  5.7 1.5
## pi10 643  0.76  0.78  0.73   0.65  5.5 1.4
## pi11 643  0.75  0.78  0.75   0.64  5.8 1.3
## 
## Non missing response frequency for each item
##         1    2    3    4    5    6    7 miss
## pi6  0.04 0.06 0.06 0.17 0.19 0.25 0.23    0
## pi7  0.03 0.03 0.05 0.12 0.17 0.30 0.31    0
## pi8  0.07 0.06 0.09 0.18 0.17 0.22 0.20    0
## pi9  0.03 0.02 0.04 0.12 0.14 0.24 0.41    0
## pi10 0.02 0.01 0.06 0.14 0.19 0.28 0.30    0
## pi11 0.01 0.01 0.04 0.08 0.18 0.31 0.37    0</code></pre>
<p>#correlations</p>
<pre class="r"><code>library(apaTables)

crmisf &lt;- filter(crmisf, gender &lt; 3, edu &lt; 7,  stringsAsFactors = TRUE)

cor_misinfo &lt;- subset(crmisf, select=c(age, gender, ses, edu,  decep_total, cse_total, mach_total, narc_total, psych_total, sadism_total, pi_total, pi_cultural_total, pi_obedience_total, pi_selfreport, pre_true_reliable, pre_true_conf, pre_true_share, pre_false_reliable, pre_false_conf, pre_false_share, post_true_reliable, post_true_conf, post_true_share, post_false_reliable, post_false_conf, post_false_share))

apa.cor.table(cor_misinfo,filename = &quot;correl1.doc&quot;,table.number = 1, show.conf.interval = FALSE, show.sig.stars = TRUE,landscape = TRUE)</code></pre>
<pre><code>## The ability to suppress reporting of reporting confidence intervals has been deprecated in this version.
## The function argument show.conf.interval will be removed in a later version.</code></pre>
<pre><code>## 
## 
## Table 1 
## 
## Means, standard deviations, and correlations with confidence intervals
##  
## 
##   Variable                M     SD    1            2            3           
##   1. age                  30.56 6.99                                        
##                                                                             
##   2. gender               1.40  0.49  .24**                                 
##                                       [.17, .31]                            
##                                                                             
##   3. ses                  6.06  1.99  -.10*        -.16**                   
##                                       [-.17, -.02] [-.24, -.09]             
##                                                                             
##   4. edu                  4.30  1.10  .48**        .24**        -.16**      
##                                       [.42, .54]   [.16, .31]   [-.23, -.08]
##                                                                             
##   5. decep_total          9.08  13.94 -.02         .04          -.03        
##                                       [-.09, .06]  [-.03, .12]  [-.11, .05] 
##                                                                             
##   6. cse_total            37.61 8.67  .15**        .08          -.05        
##                                       [.07, .22]   [-.00, .15]  [-.12, .03] 
##                                                                             
##   7. mach_total           24.54 3.72  -.02         .08*         -.04        
##                                       [-.09, .06]  [.00, .15]   [-.12, .04] 
##                                                                             
##   8. narc_total           26.79 5.23  .11**        .12**        -.11**      
##                                       [.04, .19]   [.05, .20]   [-.18, -.03]
##                                                                             
##   9. psych_total          24.98 6.67  .23**        .14**        -.05        
##                                       [.15, .30]   [.07, .22]   [-.13, .03] 
##                                                                             
##   10. sadism_total        23.60 7.47  .28**        .11**        -.11**      
##                                       [.21, .35]   [.04, .19]   [-.19, -.04]
##                                                                             
##   11. pi_total            31.07 12.20 .20**        .12**        -.11**      
##                                       [.12, .27]   [.05, .20]   [-.18, -.03]
##                                                                             
##   12. pi_cultural_total   48.43 20.46 .22**        .06          -.06        
##                                       [.14, .29]   [-.02, .14]  [-.14, .02] 
##                                                                             
##   13. pi_obedience_total  25.72 7.93  .38**        .19**        -.13**      
##                                       [.31, .44]   [.12, .27]   [-.20, -.05]
##                                                                             
##   14. pi_selfreport       26.39 13.43 .12**        .02          -.04        
##                                       [.04, .19]   [-.06, .10]  [-.12, .04] 
##                                                                             
##   15. pre_true_reliable   42.01 7.58  .26**        .18**        -.11**      
##                                       [.18, .33]   [.10, .25]   [-.19, -.04]
##                                                                             
##   16. pre_true_conf       43.80 7.35  .20**        .18**        -.16**      
##                                       [.12, .27]   [.10, .25]   [-.23, -.08]
##                                                                             
##   17. pre_true_share      41.74 8.93  .29**        .18**        -.04        
##                                       [.21, .36]   [.10, .25]   [-.11, .04] 
##                                                                             
##   18. pre_false_reliable  39.94 9.23  .31**        .19**        -.08        
##                                       [.24, .38]   [.11, .26]   [-.15, .00] 
##                                                                             
##   19. pre_false_conf      43.31 7.51  .20**        .17**        -.18**      
##                                       [.13, .28]   [.09, .24]   [-.26, -.10]
##                                                                             
##   20. pre_false_share     40.31 10.33 .31**        .20**        -.03        
##                                       [.24, .38]   [.13, .28]   [-.11, .05] 
##                                                                             
##   21. post_true_reliable  41.60 8.10  .24**        .15**        -.07        
##                                       [.16, .31]   [.07, .23]   [-.15, .00] 
##                                                                             
##   22. post_true_conf      43.92 7.42  .17**        .14**        -.11**      
##                                       [.10, .25]   [.06, .22]   [-.19, -.03]
##                                                                             
##   23. post_true_share     41.51 9.55  .26**        .14**        .00         
##                                       [.19, .33]   [.06, .22]   [-.08, .08] 
##                                                                             
##   24. post_false_reliable 39.67 9.68  .27**        .19**        -.04        
##                                       [.20, .34]   [.11, .27]   [-.12, .04] 
##                                                                             
##   25. post_false_conf     43.59 7.65  .18**        .17**        -.15**      
##                                       [.10, .26]   [.09, .25]   [-.23, -.07]
##                                                                             
##   26. post_false_share    39.94 11.02 .29**        .19**        -.01        
##                                       [.21, .36]   [.11, .27]   [-.09, .07] 
##                                                                             
##   4            5            6            7           8            9           
##                                                                               
##                                                                               
##                                                                               
##                                                                               
##                                                                               
##                                                                               
##                                                                               
##                                                                               
##                                                                               
##                                                                               
##                                                                               
##   -.18**                                                                      
##   [-.25, -.10]                                                                
##                                                                               
##   .31**        -.74**                                                         
##   [.24, .38]   [-.77, -.70]                                                   
##                                                                               
##   .09*         .13**        -.04                                              
##   [.01, .17]   [.05, .20]   [-.12, .04]                                       
##                                                                               
##   .36**        -.42**       .66**        .22**                                
##   [.29, .42]   [-.48, -.36] [.61, .70]   [.14, .29]                           
##                                                                               
##   .36**        -.48**       .65**        .19**       .68**                    
##   [.29, .43]   [-.54, -.42] [.60, .69]   [.12, .27]  [.64, .72]               
##                                                                               
##   .36**        -.37**       .62**        .02         .60**        .78**       
##   [.29, .42]   [-.43, -.30] [.57, .67]   [-.06, .10] [.54, .64]   [.74, .81]  
##                                                                               
##   .05          .78**        -.38**       .07         -.12**       -.15**      
##   [-.03, .12]  [.75, .81]   [-.44, -.31] [-.01, .14] [-.19, -.04] [-.22, -.07]
##                                                                               
##   .38**        -.76**       .76**        -.03        .64**        .75**       
##   [.31, .44]   [-.79, -.73] [.73, .79]   [-.11, .05] [.59, .68]   [.72, .78]  
##                                                                               
##   .31**        .33**        .02          .05         .20**        .29**       
##   [.23, .37]   [.26, .39]   [-.05, .10]  [-.03, .13] [.12, .27]   [.22, .36]  
##                                                                               
##   .32**        -.86**       .78**        -.02        .62**        .69**       
##   [.25, .39]   [-.88, -.84] [.75, .81]   [-.10, .06] [.57, .66]   [.64, .73]  
##                                                                               
##   .38**        -.13**       .39**        .27**       .51**        .52**       
##   [.31, .45]   [-.21, -.05] [.32, .45]   [.19, .34]  [.45, .56]   [.46, .58]  
##                                                                               
##   .35**        -.05         .29**        .37**       .44**        .41**       
##   [.28, .42]   [-.13, .03]  [.21, .36]   [.30, .43]  [.38, .50]   [.35, .48]  
##                                                                               
##   .41**        -.20**       .43**        .16**       .49**        .59**       
##   [.34, .47]   [-.28, -.12] [.37, .50]   [.08, .24]  [.42, .55]   [.53, .64]  
##                                                                               
##   .39**        -.23**       .45**        .10*        .50**        .65**       
##   [.32, .45]   [-.30, -.15] [.39, .51]   [.02, .18]  [.44, .56]   [.61, .70]  
##                                                                               
##   .35**        -.09*        .33**        .30**       .43**        .43**       
##   [.28, .42]   [-.17, -.01] [.26, .40]   [.23, .37]  [.37, .49]   [.37, .50]  
##                                                                               
##   .38**        -.23**       .45**        .05         .47**        .62**       
##   [.31, .45]   [-.30, -.15] [.38, .51]   [-.03, .13] [.41, .53]   [.57, .67]  
##                                                                               
##   .36**        -.20**       .44**        .22**       .56**        .60**       
##   [.29, .43]   [-.27, -.12] [.38, .51]   [.15, .30]  [.51, .61]   [.55, .65]  
##                                                                               
##   .34**        -.10*        .32**        .32**       .46**        .46**       
##   [.27, .41]   [-.18, -.02] [.25, .39]   [.25, .39]  [.40, .52]   [.39, .52]  
##                                                                               
##   .38**        -.24**       .46**        .10**       .53**        .60**       
##   [.31, .44]   [-.31, -.16] [.40, .52]   [.03, .18]  [.47, .58]   [.55, .65]  
##                                                                               
##   .35**        -.24**       .46**        .08*        .52**        .67**       
##   [.28, .41]   [-.31, -.16] [.40, .52]   [.00, .16]  [.46, .58]   [.63, .71]  
##                                                                               
##   .31**        -.10*        .34**        .24**       .43**        .42**       
##   [.24, .38]   [-.18, -.02] [.27, .41]   [.16, .31]  [.37, .49]   [.35, .48]  
##                                                                               
##   .34**        -.25**       .47**        .02         .50**        .65**       
##   [.26, .41]   [-.32, -.18] [.40, .53]   [-.06, .10] [.43, .55]   [.60, .69]  
##                                                                               
##   10          11           12         13          14         15        
##                                                                        
##                                                                        
##                                                                        
##                                                                        
##                                                                        
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##                                                                        
##   .03                                                                  
##   [-.05, .11]                                                          
##                                                                        
##   .70**       -.39**                                                   
##   [.66, .74]  [-.45, -.32]                                             
##                                                                        
##   .42**       .66**        .24**                                       
##   [.35, .48]  [.62, .70]   [.16, .31]                                  
##                                                                        
##   .59**       -.57**       .96**      .01                              
##   [.54, .64]  [-.62, -.51] [.95, .96] [-.06, .09]                      
##                                                                        
##   .44**       .14**        .44**      .44**       .36**                
##   [.37, .50]  [.06, .21]   [.38, .51] [.37, .50]  [.29, .42]           
##                                                                        
##   .31**       .16**        .31**      .35**       .26**      .78**     
##   [.24, .38]  [.09, .24]   [.23, .38] [.28, .42]  [.18, .33] [.75, .81]
##                                                                        
##   .53**       .12**        .54**      .46**       .44**      .81**     
##   [.47, .59]  [.04, .19]   [.48, .59] [.40, .52]  [.37, .50] [.78, .84]
##                                                                        
##   .61**       .12**        .58**      .52**       .46**      .75**     
##   [.56, .66]  [.04, .20]   [.53, .63] [.46, .58]  [.40, .52] [.71, .78]
##                                                                        
##   .37**       .15**        .35**      .35**       .29**      .69**     
##   [.30, .44]  [.08, .23]   [.28, .42] [.28, .42]  [.22, .36] [.65, .73]
##                                                                        
##   .61**       .12**        .58**      .50**       .46**      .66**     
##   [.56, .66]  [.04, .20]   [.52, .63] [.44, .56]  [.39, .52] [.62, .71]
##                                                                        
##   .53**       .10*         .52**      .43**       .43**      .83**     
##   [.47, .58]  [.02, .18]   [.46, .57] [.37, .50]  [.36, .49] [.80, .85]
##                                                                        
##   .35**       .11**        .35**      .32**       .30**      .71**     
##   [.28, .42]  [.03, .19]   [.27, .41] [.24, .38]  [.22, .37] [.67, .75]
##                                                                        
##   .55**       .07          .56**      .42**       .47**      .71**     
##   [.49, .60]  [-.01, .14]  [.51, .62] [.35, .48]  [.41, .53] [.67, .75]
##                                                                        
##   .63**       .12**        .59**      .51**       .47**      .68**     
##   [.59, .68]  [.04, .20]   [.54, .64] [.45, .56]  [.40, .52] [.63, .72]
##                                                                        
##   .37**       .15**        .33**      .32**       .28**      .65**     
##   [.30, .43]  [.07, .22]   [.26, .40] [.24, .38]  [.20, .35] [.61, .70]
##                                                                        
##   .64**       .11**        .60**      .47**       .48**      .60**     
##   [.59, .69]  [.03, .18]   [.55, .65] [.41, .53]  [.41, .54] [.55, .65]
##                                                                        
##   16         17         18         19         20         21         22        
##                                                                               
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##   .66**                                                                       
##   [.61, .70]                                                                  
##                                                                               
##   .57**      .74**                                                            
##   [.52, .62] [.70, .77]                                                       
##                                                                               
##   .84**      .60**      .62**                                                 
##   [.81, .86] [.54, .65] [.57, .66]                                            
##                                                                               
##   .53**      .84**      .86**      .59**                                      
##   [.47, .58] [.81, .86] [.84, .88] [.54, .64]                                 
##                                                                               
##   .68**      .76**      .75**      .64**      .69**                           
##   [.63, .72] [.72, .79] [.71, .78] [.59, .68] [.64, .73]                      
##                                                                               
##   .83**      .61**      .55**      .80**      .51**      .74**                
##   [.80, .85] [.55, .65] [.49, .60] [.77, .83] [.45, .57] [.70, .77]           
##                                                                               
##   .56**      .87**      .70**      .56**      .82**      .82**      .63**     
##   [.51, .62] [.85, .89] [.66, .74] [.50, .61] [.79, .84] [.79, .84] [.58, .67]
##                                                                               
##   .51**      .68**      .88**      .55**      .81**      .80**      .58**     
##   [.44, .56] [.64, .72] [.86, .90] [.50, .61] [.78, .83] [.77, .82] [.52, .63]
##                                                                               
##   .77**      .55**      .55**      .85**      .53**      .66**      .83**     
##   [.73, .80] [.49, .60] [.50, .61] [.82, .87] [.47, .58] [.61, .70] [.81, .86]
##                                                                               
##   .44**      .78**      .79**      .49**      .89**      .73**      .51**     
##   [.38, .51] [.75, .81] [.76, .82] [.43, .55] [.88, .91] [.69, .76] [.45, .56]
##                                                                               
##   23         24         25        
##                                   
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##   .75**                           
##   [.71, .78]                      
##                                   
##   .57**      .58**                
##   [.51, .62] [.52, .63]           
##                                   
##   .87**      .86**      .52**     
##   [.85, .89] [.83, .88] [.46, .57]
##                                   
## 
## Note. M and SD are used to represent mean and standard deviation, respectively.
## Values in square brackets indicate the 95% confidence interval.
## The confidence interval is a plausible range of population correlations 
## that could have caused the sample correlation (Cumming, 2014).
##  * indicates p &lt; .05. ** indicates p &lt; .01.
## </code></pre>
<p>#Subsets for three conditions</p>
<pre class="r"><code>misinfo &lt;- subset(crmisf, condition == &quot;misinfo&quot;)
psych::describe(misinfo)</code></pre>
<pre><code>## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf</code></pre>
<pre><code>## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf</code></pre>
<pre><code>##                         vars   n    mean      sd  median trimmed    mad   min
## X                          1 223  305.84  171.37  303.00  306.72 225.36   4.0
## PID*                       2   0     NaN      NA      NA     NaN     NA   Inf
## Start.Date                 3   0     NaN      NA      NA     NaN     NA   Inf
## End.Date                   4   0     NaN      NA      NA     NaN     NA   Inf
## Response.Type              5 223    0.00    0.00    0.00    0.00   0.00   0.0
## IP.Address                 6   0     NaN      NA      NA     NaN     NA   Inf
## Progress                   7 223  100.00    0.00  100.00  100.00   0.00 100.0
## Duration..in.seconds.      8 223 1340.48 1476.45 1019.00 1100.52 720.54 260.0
## Finished                   9 223    1.00    0.00    1.00    1.00   0.00   1.0
## Recorded.Date             10   0     NaN      NA      NA     NaN     NA   Inf
## Response.ID               11   0     NaN      NA      NA     NaN     NA   Inf
## Recipient.Last.Name       12   0     NaN      NA      NA     NaN     NA   Inf
## Recipient.First.Name      13   0     NaN      NA      NA     NaN     NA   Inf
## Recipient.Email           14   0     NaN      NA      NA     NaN     NA   Inf
## External.Data.Reference   15   0     NaN      NA      NA     NaN     NA   Inf
## Location.Latitude         16 223   23.26    6.72   26.88   23.74   3.13   8.1
## Location.Longitude        17 223   77.68   13.78   77.59   78.44   3.91 -97.1
## Distribution.Channel      18   0     NaN      NA      NA     NaN     NA   Inf
## User.Language             19   0     NaN      NA      NA     NaN     NA   Inf
## Q_RecaptchaScore          20  59    0.81    0.22    0.90    0.84   0.15   0.2
## consent                   21 223    1.00    0.00    1.00    1.00   0.00   1.0
## nationality               22 223    1.00    0.00    1.00    1.00   0.00   1.0
## nationality_text          23   0     NaN      NA      NA     NaN     NA   Inf
## pre1_true_reliable        24 223    5.57    1.19    6.00    5.67   1.48   1.0
## pre1_true_conf            25 223    5.65    1.33    6.00    5.83   1.48   1.0
## pre1_true_share           26 223    5.60    1.36    6.00    5.76   1.48   1.0
## pre2_true_reliable        27 223    5.43    1.39    6.00    5.59   1.48   1.0
## pre2_true_conf            28 223    5.60    1.21    6.00    5.71   1.48   1.0
## pre2_true_share           29 223    5.50    1.40    6.00    5.69   1.48   1.0
## pre3_true_reliable        30 223    5.24    1.31    5.00    5.34   1.48   1.0
## pre3_true_conf            31 223    5.29    1.25    5.00    5.37   1.48   1.0
## pre3_true_share           32 221    5.16    1.58    5.00    5.35   1.48   1.0
## pre4_true_reliable        33 221    5.32    1.44    6.00    5.46   1.48   1.0
## pre4_true_conf            34 221    5.39    1.42    6.00    5.56   1.48   1.0
## pre4_true_share           35 220    5.23    1.52    6.00    5.39   1.48   1.0
## pre5_true_reliable        36 223    5.20    1.42    5.00    5.34   1.48   1.0
## pre5_true_conf            37 223    5.38    1.30    6.00    5.52   1.48   2.0
## pre5_true_share           38 221    5.21    1.52    6.00    5.38   1.48   1.0
## pre6_true_reliable        39 223    5.12    1.66    5.00    5.33   1.48   1.0
## pre6_true_conf            40 221    5.47    1.40    6.00    5.63   1.48   1.0
## pre6_true_share           41 221    5.12    1.65    5.00    5.32   1.48   1.0
## pre7_true_reliable        42 223    5.21    1.44    5.00    5.33   1.48   1.0
## pre7_true_conf            43 223    5.26    1.41    6.00    5.37   1.48   1.0
## pre7_true_share           44 223    5.10    1.60    5.00    5.29   1.48   1.0
## pre8_true_reliable        45 223    5.69    1.28    6.00    5.83   1.48   1.0
## pre8_true_conf            46 223    5.66    1.26    6.00    5.81   1.48   1.0
## pre8_true_share           47 221    5.70    1.32    6.00    5.88   1.48   1.0
## pre9_false_reliable       48 222    5.32    1.38    6.00    5.46   1.48   1.0
## pre9_false_conf           49 222    5.48    1.31    6.00    5.63   1.48   1.0
## pre9_false_share          50 222    5.19    1.60    5.00    5.40   1.48   1.0
## pre10_false_reliable      51 223    5.34    1.35    6.00    5.47   1.48   1.0
## pre10_false_conf          52 222    5.49    1.22    6.00    5.58   1.48   2.0
## pre10_false_share         53 221    5.42    1.38    6.00    5.58   1.48   1.0
## pre11_false_reliable      54 223    4.89    1.77    5.00    5.08   1.48   1.0
## pre11_false_conf          55 222    5.22    1.40    5.00    5.36   1.48   1.0
## pre11_false_share         56 221    4.92    1.82    5.00    5.13   1.48   1.0
## pre12_false_reliable      57 222    5.12    1.54    5.00    5.29   1.48   1.0
## pre12_false_conf          58 220    5.33    1.29    6.00    5.45   1.48   1.0
## pre12_false_share         59 223    5.25    1.70    6.00    5.51   1.48   1.0
## pre13_false_reliable      60 223    5.21    1.56    6.00    5.39   1.48   1.0
## pre13_false_conf          61 223    5.38    1.42    6.00    5.55   1.48   1.0
## pre13_false_share         62 222    5.34    1.54    6.00    5.56   1.48   1.0
## pre14_false_reliable      63 222    4.79    1.85    5.00    4.98   1.48   1.0
## pre14_false_conf          64 223    5.35    1.53    6.00    5.57   1.48   1.0
## pre14_false_share         65 223    4.82    1.89    5.00    5.02   1.48   1.0
## pre15_false_reliable      66 222    5.19    1.51    5.50    5.35   0.74   1.0
## pre15_false_conf          67 221    5.33    1.29    5.00    5.42   1.48   1.0
## pre15_false_share         68 221    5.22    1.53    6.00    5.41   1.48   1.0
## pre16_false_reliable      69 223    5.32    1.47    6.00    5.50   1.48   1.0
## pre16_false_conf          70 223    5.43    1.23    6.00    5.53   1.48   1.0
## pre16_false_share         71 223    5.39    1.46    6.00    5.58   1.48   1.0
## prompt1*                  72 223    4.61    8.79    1.00    2.11   0.00   1.0
## prompt2*                  73 223    5.13    9.74    1.00    2.37   0.00   1.0
## prompt3*                  74 223    6.30   11.79    1.00    3.07   0.00   1.0
## prompt4*                  75 223    5.61   10.56    1.00    2.68   0.00   1.0
## prompt5*                  76 223    5.99   11.40    1.00    2.82   0.00   1.0
## prompt6*                  77 223    4.80    9.32    1.00    2.09   0.00   1.0
## prompt7*                  78 223    4.80    9.23    1.00    2.17   0.00   1.0
## prompt8*                  79 223    4.79    9.14    1.00    2.15   0.00   1.0
## prompt9*                  80 223    6.86   12.75    1.00    3.43   0.00   1.0
## prompt10*                 81 223    5.11    9.68    1.00    2.37   0.00   1.0
## prompt11*                 82 223    5.70   10.95    1.00    2.61   0.00   1.0
## prompt12*                 83 223    4.79    9.25    1.00    2.12   0.00   1.0
## prompt13*                 84 223    5.66   10.94    1.00    2.56   0.00   1.0
## prompt14*                 85 223    4.50    8.96    1.00    1.85   0.00   1.0
## prompt15                  86   0     NaN      NA      NA     NaN     NA   Inf
## depict                    87   0     NaN      NA      NA     NaN     NA   Inf
## decs1                     88 223    3.75    1.16    4.00    3.91   1.48   1.0
## decs2_r                   89 223    3.84    1.07    4.00    3.96   1.48   1.0
## decs3                     90 223    4.08    0.84    4.00    4.16   1.48   2.0
## decs4                     91 223    3.99    1.01    4.00    4.13   1.48   1.0
## decs5                     92 223    3.90    1.05    4.00    4.03   1.48   1.0
## decs6                     93 223    3.55    1.26    4.00    3.68   1.48   1.0
## decs7                     94 223    3.78    1.08    4.00    3.87   1.48   1.0
## decs8_r                   95 223    3.88    1.09    4.00    4.01   1.48   1.0
## decs9                     96 223    3.77    1.12    4.00    3.91   1.48   1.0
## decs10_r                  97 223    4.02    0.99    4.00    4.15   1.48   1.0
## decs11                    98 223    3.45    1.32    4.00    3.56   1.48   1.0
## decs12                    99 223    3.85    1.09    4.00    4.00   1.48   1.0
## cse1                     100 222    4.77    1.21    5.00    4.95   1.48   1.0
## cse2                     101 222    4.86    1.09    5.00    4.99   1.48   1.0
## cse3_r                   102 222    4.02    1.66    5.00    4.15   1.48   1.0
## cse4                     103 223    4.65    1.16    5.00    4.77   1.48   1.0
## cse5                     104 222    4.75    1.13    5.00    4.89   1.48   1.0
## cse6_r                   105 223    4.52    1.31    5.00    4.66   1.48   1.0
## mach1                    106 223    4.07    0.95    4.00    4.20   1.48   1.0
## mach2                    107 223    3.87    0.96    4.00    3.96   1.48   1.0
## mach3                    108 223    4.01    0.91    4.00    4.11   1.48   1.0
## mach4                    109 223    3.97    0.97    4.00    4.07   1.48   1.0
## mach5                    110 223    4.00    0.89    4.00    4.10   1.48   1.0
## mach6                    111 223    3.73    1.09    4.00    3.85   1.48   1.0
## mach7                    112 223    4.09    0.94    4.00    4.22   1.48   1.0
## narc1                    113 223    3.93    1.05    4.00    4.07   1.48   1.0
## narc2                    114 223    3.83    1.04    4.00    3.93   1.48   1.0
## narc3                    115 223    3.77    1.07    4.00    3.87   1.48   1.0
## narc4                    116 222    3.88    1.01    4.00    3.99   1.48   1.0
## narc5                    117 223    4.01    0.94    4.00    4.11   1.48   1.0
## narc6                    118 223    3.75    1.13    4.00    3.86   1.48   1.0
## narc7                    119 223    3.51    1.31    4.00    3.64   1.48   1.0
## psy1                     120 223    3.43    1.33    4.00    3.54   1.48   1.0
## psy2                     121 223    3.52    1.25    4.00    3.65   1.48   1.0
## psy3                     122 223    3.26    1.33    4.00    3.32   1.48   1.0
## psy4                     123 223    3.70    1.13    4.00    3.83   1.48   1.0
## psy5                     124 223    3.29    1.37    4.00    3.36   1.48   1.0
## psy6                     125 223    3.60    1.17    4.00    3.70   1.48   1.0
## psy7                     126 223    3.55    1.22    4.00    3.66   1.48   1.0
## sadism1                  127 223    3.45    1.29    4.00    3.56   1.48   1.0
## sadism2                  128 223    3.59    1.23    4.00    3.72   1.48   1.0
## sadism3                  129 223    3.67    1.23    4.00    3.80   1.48   1.0
## sadism4                  130 223    3.50    1.36    4.00    3.62   1.48   1.0
## sadism5                  131 223    3.58    1.21    4.00    3.69   1.48   1.0
## sadism6                  132 223    3.30    1.37    4.00    3.38   1.48   1.0
## sadism7                  133 223    3.64    1.19    4.00    3.76   1.48   1.0
## attention1               134 223    4.59    0.93    5.00    4.83   0.00   1.0
## pi1                      135 222    4.50    2.03    5.00    4.62   1.48   1.0
## pi2                      136 222    4.67    1.93    5.00    4.84   1.48   1.0
## pi3                      137 222    5.14    1.73    6.00    5.34   1.48   1.0
## pi4                      138 222    4.57    1.93    5.00    4.71   1.48   1.0
## pi5                      139 222    5.12    1.70    5.00    5.33   1.48   1.0
## pi6                      140 222    5.26    1.52    6.00    5.41   1.48   1.0
## pi7                      141 222    5.58    1.41    6.00    5.78   1.48   1.0
## pi8                      142 222    4.81    1.85    5.00    4.99   1.48   1.0
## pi9                      143 222    5.93    1.35    6.00    6.16   1.48   1.0
## pi10                     144 222    5.55    1.38    6.00    5.71   1.48   1.0
## pi11                     145 222    5.95    1.22    6.00    6.15   1.48   1.0
## pi_self                  146 223    5.16    1.47    5.00    5.28   1.48   1.0
## attention2               147 223  611.31   40.18  614.00  614.00   0.00  14.0
## post1_true_reliable      148 222    5.66    1.21    6.00    5.79   1.48   1.0
## post1_true_conf          149 220    5.57    1.33    6.00    5.72   1.48   1.0
## post1_true_share         150 219    5.59    1.36    6.00    5.75   1.48   1.0
## post2_true_reliable      151 223    5.34    1.50    6.00    5.51   1.48   1.0
## post2_true_conf          152 222    5.55    1.29    6.00    5.69   1.48   1.0
## post2_true_share         153 222    5.36    1.53    6.00    5.54   1.48   1.0
## post3_true_reliable      154 223    5.11    1.52    5.00    5.24   1.48   1.0
## post3_true_conf          155 222    5.36    1.25    6.00    5.46   1.48   1.0
## post3_true_share         156 221    4.99    1.57    5.00    5.14   1.48   1.0
## post4_true_reliable      157 222    5.22    1.41    5.00    5.37   1.48   1.0
## post4_true_conf          158 222    5.42    1.27    6.00    5.53   1.48   1.0
## post4_true_share         159 222    5.19    1.52    5.00    5.35   1.48   1.0
## post5_true_reliable      160 223    5.16    1.50    5.00    5.30   1.48   1.0
## post5_true_conf          161 223    5.50    1.18    6.00    5.59   1.48   1.0
## post5_true_share         162 223    5.30    1.51    6.00    5.48   1.48   1.0
## post6_true_reliable      163 223    4.98    1.64    5.00    5.14   1.48   1.0
## post6_true_conf          164 223    5.42    1.34    6.00    5.56   1.48   1.0
## post6_true_share         165 223    5.13    1.69    5.00    5.35   1.48   1.0
## post7_true_reliable      166 223    5.08    1.59    5.00    5.24   1.48   1.0
## post7_true_conf          167 222    5.35    1.36    6.00    5.49   1.48   1.0
## post7_true_share         168 222    5.15    1.62    5.50    5.34   2.22   1.0
## post8_true_reliable      169 223    5.63    1.29    6.00    5.77   1.48   1.0
## post8_true_conf          170 223    5.70    1.21    6.00    5.85   1.48   1.0
## post8_true_share         171 222    5.65    1.27    6.00    5.81   1.48   1.0
## post9_false_reliable     172 222    5.23    1.49    5.00    5.39   1.48   1.0
## post9_false_conf         173 222    5.43    1.28    6.00    5.56   1.48   1.0
## post9_false_share        174 216    5.31    1.54    6.00    5.50   1.48   1.0
## post10_false_reliable    175 222    5.36    1.40    6.00    5.51   1.48   1.0
## post10_false_conf        176 222    5.56    1.26    6.00    5.69   1.48   1.0
## post10_false_share       177 222    5.32    1.51    6.00    5.52   1.48   1.0
## post11_false_reliable    178 223    4.83    1.83    5.00    5.02   1.48   1.0
## post11_false_conf        179 222    5.36    1.40    6.00    5.53   1.48   1.0
## post11_false_share       180 220    4.91    1.83    5.00    5.14   1.48   1.0
## post12_false_reliable    181 223    5.08    1.60    5.00    5.23   1.48   1.0
## post12_false_conf        182 223    5.47    1.26    6.00    5.59   1.48   1.0
## post12_false_share       183 223    5.18    1.63    5.00    5.39   1.48   1.0
## post13_false_reliable    184 223    5.13    1.58    5.00    5.31   1.48   1.0
## post13_false_conf        185 223    5.53    1.24    6.00    5.66   1.48   1.0
## post13_false_share       186 223    5.26    1.61    6.00    5.49   1.48   1.0
## post14_false_reliable    187 223    4.61    1.88    5.00    4.75   1.48   1.0
## post14_false_conf        188 223    5.30    1.53    5.00    5.50   1.48   1.0
## post14_false_share       189 223    4.78    1.93    5.00    4.97   1.48   1.0
## post15_false_reliable    190 222    5.07    1.62    5.00    5.25   1.48   1.0
## post15_false_conf        191 221    5.45    1.28    6.00    5.56   1.48   1.0
## post15_false_share       192 222    5.14    1.56    5.00    5.32   1.48   1.0
## post16_false_reliable    193 223    5.20    1.57    6.00    5.36   1.48   1.0
## post16_false_conf        194 223    5.37    1.31    6.00    5.49   1.48   1.0
## post16_false_share       195 222    5.19    1.58    6.00    5.37   1.48   1.0
## age                      196 223   30.92    6.96   30.00   30.69   7.41  18.0
## gender                   197 223    1.40    0.49    1.00    1.37   0.00   1.0
## gender_text*             198 223    1.00    0.00    1.00    1.00   0.00   1.0
## edu                      199 223    4.34    1.11    4.00    4.39   1.48   2.0
## edu_text*                200 223    1.00    0.00    1.00    1.00   0.00   1.0
## employ                   201 223    2.20    0.80    2.00    2.15   0.00   1.0
## employ_text*             202 223    1.00    0.07    1.00    1.00   0.00   1.0
## marital                  203 223    2.24    0.97    3.00    2.29   0.00   1.0
## marital_text*            204 223    1.00    0.00    1.00    1.00   0.00   1.0
## religion                 205 223    3.84    1.32    4.00    3.80   0.00   1.0
## religion_text*           206 223    1.00    0.00    1.00    1.00   0.00   1.0
## ses                      207 223    6.13    2.00    6.00    6.09   1.48   2.0
## score                    208  35  663.43  102.17  679.00  667.14 106.75 384.0
## attention                209 223  658.62  304.04  759.00  700.02 174.95   1.0
## decep_total              210 223    6.82   11.91    2.00    3.78   0.00   1.0
## cse_total                211 223   38.96    8.49   41.00   39.96   8.90   8.0
## mach_total               212 223   24.51    3.79   25.00   24.56   2.97  11.0
## narc_total               213 223   27.36    4.91   27.00   27.49   5.93  14.0
## psych_total              214 223   25.75    6.61   27.00   26.16   7.41   8.0
## sadism_total             215 223   24.28    7.50   25.00   24.74   8.90   7.0
## pi_total                 216 223   29.51   10.55   29.00   28.64   8.90   7.0
## pi_cultural_total        217 223   52.07   19.45   57.00   53.82  16.31   0.0
## pi_obedience_total       218 223   26.00    7.46   27.00   26.54   7.41   0.0
## pi_selfreport            219 223   28.82   12.31   32.00   30.35   8.90   0.0
## Prompt.1*                220 223    5.78    1.61    6.00    5.87   1.48   1.0
## Prompt.2*                221 223    1.16    0.36    1.00    1.07   0.00   1.0
## Prompt.3*                222 223    1.84    0.36    2.00    1.93   0.00   1.0
## Prompt.4*                223 223    1.84    0.36    2.00    1.93   0.00   1.0
## Prompt.5*                224 223    1.16    0.36    1.00    1.07   0.00   1.0
## Prompt.6*                225 223    1.84    0.36    2.00    1.93   0.00   1.0
## Prompt.7*                226 223    1.16    0.36    1.00    1.07   0.00   1.0
## Prompt.8*                227 223    1.84    0.36    2.00    1.93   0.00   1.0
## Prompt.9*                228 223    1.16    0.36    1.00    1.07   0.00   1.0
## Prompt.10*               229 223    1.84    0.36    2.00    1.93   0.00   1.0
## Prompt.11*               230 223    1.16    0.36    1.00    1.07   0.00   1.0
## Prompt.12*               231 223    1.16    0.36    1.00    1.07   0.00   1.0
## Prompt.13*               232 223    1.84    0.36    2.00    1.93   0.00   1.0
## Prompt.14*               233 223    1.84    0.36    2.00    1.93   0.00   1.0
## Prompt.15*               234 223    1.16    0.36    1.00    1.07   0.00   1.0
## X.1*                     235 223    1.84    0.36    2.00    1.93   0.00   1.0
## condition*               236 223    3.00    0.00    3.00    3.00   0.00   3.0
## nationality_rev*         237 223    1.00    0.00    1.00    1.00   0.00   1.0
## nationality_rev2         238   0     NaN      NA      NA     NaN     NA   Inf
## gender_rev*              239 223    2.60    1.96    1.00    2.50   0.00   1.0
## edu_rev*                 240 223    3.38    1.77    2.00    3.34   1.48   1.0
## employ_rev*              241 223    2.44    1.80    1.00    2.25   0.00   1.0
## employ_combined*         242 223    1.20    0.40    1.00    1.12   0.00   1.0
## marital_rev*             243 223    2.73    1.03    2.00    2.69   0.00   1.0
## religion_rev*            244 223    3.81    1.23    4.00    3.80   0.00   1.0
## pre_true_reliable        245 221   42.75    7.72   42.00   42.88   7.41  18.0
## pre_true_conf            246 219   43.77    7.56   44.00   43.99   7.41  21.0
## pre_true_share           247 213   42.51    9.03   44.00   42.98   8.90   8.0
## pre_false_reliable       248 219   41.25    8.73   42.00   41.63   8.90  17.0
## pre_false_conf           249 215   43.00    7.53   43.00   43.19   7.41  20.0
## pre_false_share          250 216   41.55    9.66   44.00   42.32   8.90   8.0
## post_true_reliable       251 221   42.26    8.46   42.00   42.51   8.90  18.0
## post_true_conf           252 216   43.94    7.63   44.00   44.28   7.41  21.0
## post_true_share          253 214   42.33    9.27   43.00   42.95   8.90   8.0
## post_false_reliable      254 220   40.61    9.51   42.00   40.96  10.38  17.0
## post_false_conf          255 218   43.52    7.39   44.00   43.86   5.93  14.0
## post_false_share         256 210   41.17   10.43   43.50   42.13   8.15   8.0
## true_reliable            257 219   85.09   15.51   85.00   85.31  16.31  36.0
## true_conf                258 213   87.86   14.57   88.00   88.28  13.34  45.0
## true_share               259 206   84.69   17.72   85.50   85.60  17.79  16.0
## false_reliable           260 216   81.83   17.71   84.00   82.45  19.27  36.0
## false_conf               261 210   86.60   14.29   86.50   86.95  12.60  43.0
## false_share              262 204   82.69   19.67   85.50   84.29  17.05  16.0
##                              max    range   skew kurtosis    se
## X                         596.00   592.00  -0.04    -1.22 11.48
## PID*                        -Inf     -Inf     NA       NA    NA
## Start.Date                  -Inf     -Inf     NA       NA    NA
## End.Date                    -Inf     -Inf     NA       NA    NA
## Response.Type               0.00     0.00    NaN      NaN  0.00
## IP.Address                  -Inf     -Inf     NA       NA    NA
## Progress                  100.00     0.00    NaN      NaN  0.00
## Duration..in.seconds.   15426.00 15166.00   5.79    46.29 98.87
## Finished                    1.00     0.00    NaN      NaN  0.00
## Recorded.Date               -Inf     -Inf     NA       NA    NA
## Response.ID                 -Inf     -Inf     NA       NA    NA
## Recipient.Last.Name         -Inf     -Inf     NA       NA    NA
## Recipient.First.Name        -Inf     -Inf     NA       NA    NA
## Recipient.Email             -Inf     -Inf     NA       NA    NA
## External.Data.Reference     -Inf     -Inf     NA       NA    NA
## Location.Latitude          53.48    45.39  -0.27     0.71  0.45
## Location.Longitude        105.00   202.10  -9.98   118.25  0.92
## Distribution.Channel        -Inf     -Inf     NA       NA    NA
## User.Language               -Inf     -Inf     NA       NA    NA
## Q_RecaptchaScore            1.00     0.80  -1.03     0.19  0.03
## consent                     1.00     0.00    NaN      NaN  0.00
## nationality                 1.00     0.00    NaN      NaN  0.00
## nationality_text            -Inf     -Inf     NA       NA    NA
## pre1_true_reliable          7.00     6.00  -0.79     0.58  0.08
## pre1_true_conf              7.00     6.00  -1.04     0.80  0.09
## pre1_true_share             7.00     6.00  -0.91     0.42  0.09
## pre2_true_reliable          7.00     6.00  -0.77    -0.07  0.09
## pre2_true_conf              7.00     6.00  -0.64     0.00  0.08
## pre2_true_share             7.00     6.00  -1.14     1.10  0.09
## pre3_true_reliable          7.00     6.00  -0.56    -0.16  0.09
## pre3_true_conf              7.00     6.00  -0.59     0.08  0.08
## pre3_true_share             7.00     6.00  -0.79     0.07  0.11
## pre4_true_reliable          7.00     6.00  -0.79     0.22  0.10
## pre4_true_conf              7.00     6.00  -0.93     0.38  0.10
## pre4_true_share             7.00     6.00  -0.83     0.18  0.10
## pre5_true_reliable          7.00     6.00  -0.75     0.23  0.10
## pre5_true_conf              7.00     5.00  -0.75     0.03  0.09
## pre5_true_share             7.00     6.00  -0.92     0.44  0.10
## pre6_true_reliable          7.00     6.00  -0.91     0.19  0.11
## pre6_true_conf              7.00     6.00  -0.85     0.27  0.09
## pre6_true_share             7.00     6.00  -0.85     0.16  0.11
## pre7_true_reliable          7.00     6.00  -0.65    -0.06  0.10
## pre7_true_conf              7.00     6.00  -0.63    -0.40  0.09
## pre7_true_share             7.00     6.00  -0.87     0.22  0.11
## pre8_true_reliable          7.00     6.00  -0.83     0.21  0.09
## pre8_true_conf              7.00     6.00  -0.87     0.47  0.08
## pre8_true_share             7.00     6.00  -1.02     0.78  0.09
## pre9_false_reliable         7.00     6.00  -0.84     0.42  0.09
## pre9_false_conf             7.00     6.00  -0.97     0.63  0.09
## pre9_false_share            7.00     6.00  -0.94     0.28  0.11
## pre10_false_reliable        7.00     6.00  -0.64    -0.16  0.09
## pre10_false_conf            7.00     5.00  -0.52    -0.50  0.08
## pre10_false_share           7.00     6.00  -0.88     0.56  0.09
## pre11_false_reliable        7.00     6.00  -0.74    -0.34  0.12
## pre11_false_conf            7.00     6.00  -0.82     0.50  0.09
## pre11_false_share           7.00     6.00  -0.81    -0.34  0.12
## pre12_false_reliable        7.00     6.00  -0.81     0.15  0.10
## pre12_false_conf            7.00     6.00  -0.89     0.69  0.09
## pre12_false_share           7.00     6.00  -1.10     0.43  0.11
## pre13_false_reliable        7.00     6.00  -0.89     0.16  0.10
## pre13_false_conf            7.00     6.00  -0.87     0.43  0.10
## pre13_false_share           7.00     6.00  -1.04     0.62  0.10
## pre14_false_reliable        7.00     6.00  -0.80    -0.39  0.12
## pre14_false_conf            7.00     6.00  -1.06     0.61  0.10
## pre14_false_share           7.00     6.00  -0.72    -0.53  0.13
## pre15_false_reliable        7.00     6.00  -0.80    -0.03  0.10
## pre15_false_conf            7.00     6.00  -0.59     0.01  0.09
## pre15_false_share           7.00     6.00  -0.84     0.15  0.10
## pre16_false_reliable        7.00     6.00  -0.93     0.53  0.10
## pre16_false_conf            7.00     6.00  -0.68     0.22  0.08
## pre16_false_share           7.00     6.00  -1.00     0.64  0.10
## prompt1*                   38.00    37.00   2.41     4.62  0.59
## prompt2*                   41.00    40.00   2.31     4.07  0.65
## prompt3*                   48.00    47.00   2.16     3.40  0.79
## prompt4*                   44.00    43.00   2.24     3.74  0.71
## prompt5*                   45.00    44.00   2.20     3.47  0.76
## prompt6*                   40.00    39.00   2.42     4.57  0.62
## prompt7*                   40.00    39.00   2.39     4.49  0.62
## prompt8*                   39.00    38.00   2.37     4.33  0.61
## prompt9*                   48.00    47.00   2.07     2.91  0.85
## prompt10*                  42.00    41.00   2.38     4.53  0.65
## prompt11*                  46.00    45.00   2.30     4.08  0.73
## prompt12*                  40.00    39.00   2.41     4.59  0.62
## prompt13*                  46.00    45.00   2.32     4.14  0.73
## prompt14*                  40.00    39.00   2.57     5.44  0.60
## prompt15                    -Inf     -Inf     NA       NA    NA
## depict                      -Inf     -Inf     NA       NA    NA
## decs1                       5.00     4.00  -0.92     0.11  0.08
## decs2_r                     5.00     4.00  -0.70    -0.21  0.07
## decs3                       5.00     3.00  -0.61    -0.32  0.06
## decs4                       5.00     4.00  -0.95     0.49  0.07
## decs5                       5.00     4.00  -0.75    -0.19  0.07
## decs6                       5.00     4.00  -0.58    -0.70  0.08
## decs7                       5.00     4.00  -0.59    -0.52  0.07
## decs8_r                     5.00     4.00  -0.74    -0.39  0.07
## decs9                       5.00     4.00  -0.96     0.27  0.07
## decs10_r                    5.00     4.00  -0.94     0.47  0.07
## decs11                      5.00     4.00  -0.50    -0.82  0.09
## decs12                      5.00     4.00  -0.92     0.33  0.07
## cse1                        6.00     5.00  -1.18     1.23  0.08
## cse2                        6.00     5.00  -0.89     0.60  0.07
## cse3_r                      6.00     5.00  -0.49    -1.07  0.11
## cse4                        6.00     5.00  -0.76     0.21  0.08
## cse5                        6.00     5.00  -0.88     0.63  0.08
## cse6_r                      6.00     5.00  -0.72    -0.11  0.09
## mach1                       5.00     4.00  -0.96     0.46  0.06
## mach2                       5.00     4.00  -0.68     0.09  0.06
## mach3                       5.00     4.00  -0.77     0.19  0.06
## mach4                       5.00     4.00  -0.70    -0.09  0.06
## mach5                       5.00     4.00  -0.80     0.38  0.06
## mach6                       5.00     4.00  -0.83     0.13  0.07
## mach7                       5.00     4.00  -1.04     0.87  0.06
## narc1                       5.00     4.00  -0.79    -0.04  0.07
## narc2                       5.00     4.00  -0.66    -0.37  0.07
## narc3                       5.00     4.00  -0.56    -0.53  0.07
## narc4                       5.00     4.00  -0.57    -0.47  0.07
## narc5                       5.00     4.00  -0.80     0.23  0.06
## narc6                       5.00     4.00  -0.62    -0.47  0.08
## narc7                       5.00     4.00  -0.50    -0.90  0.09
## psy1                        5.00     4.00  -0.47    -1.01  0.09
## psy2                        5.00     4.00  -0.60    -0.61  0.08
## psy3                        5.00     4.00  -0.31    -1.10  0.09
## psy4                        5.00     4.00  -0.78    -0.05  0.08
## psy5                        5.00     4.00  -0.39    -1.08  0.09
## psy6                        5.00     4.00  -0.58    -0.53  0.08
## psy7                        5.00     4.00  -0.50    -0.68  0.08
## sadism1                     5.00     4.00  -0.48    -0.83  0.09
## sadism2                     5.00     4.00  -0.62    -0.53  0.08
## sadism3                     5.00     4.00  -0.68    -0.54  0.08
## sadism4                     5.00     4.00  -0.55    -0.95  0.09
## sadism5                     5.00     4.00  -0.58    -0.60  0.08
## sadism6                     5.00     4.00  -0.39    -1.12  0.09
## sadism7                     5.00     4.00  -0.74    -0.39  0.08
## attention1                  5.00     4.00  -2.31     4.57  0.06
## pi1                         7.00     6.00  -0.42    -1.10  0.14
## pi2                         7.00     6.00  -0.56    -0.77  0.13
## pi3                         7.00     6.00  -0.74    -0.39  0.12
## pi4                         7.00     6.00  -0.45    -0.96  0.13
## pi5                         7.00     6.00  -0.78    -0.11  0.11
## pi6                         7.00     6.00  -0.65    -0.34  0.10
## pi7                         7.00     6.00  -1.10     0.97  0.09
## pi8                         7.00     6.00  -0.58    -0.68  0.12
## pi9                         7.00     6.00  -1.30     1.22  0.09
## pi10                        7.00     6.00  -0.84     0.27  0.09
## pi11                        7.00     6.00  -1.30     1.39  0.08
## pi_self                     7.00     6.00  -0.49    -0.36  0.10
## attention2                614.00   600.00 -14.73   216.03  2.69
## post1_true_reliable         7.00     6.00  -0.81     0.31  0.08
## post1_true_conf             7.00     6.00  -0.90     0.41  0.09
## post1_true_share            7.00     6.00  -0.93     0.55  0.09
## post2_true_reliable         7.00     6.00  -0.75    -0.05  0.10
## post2_true_conf             7.00     6.00  -0.97     0.97  0.09
## post2_true_share            7.00     6.00  -0.93     0.24  0.10
## post3_true_reliable         7.00     6.00  -0.61    -0.27  0.10
## post3_true_conf             7.00     6.00  -0.68     0.06  0.08
## post3_true_share            7.00     6.00  -0.69    -0.07  0.11
## post4_true_reliable         7.00     6.00  -0.86     0.57  0.09
## post4_true_conf             7.00     6.00  -0.71     0.28  0.08
## post4_true_share            7.00     6.00  -0.78     0.09  0.10
## post5_true_reliable         7.00     6.00  -0.71     0.02  0.10
## post5_true_conf             7.00     6.00  -0.60     0.08  0.08
## post5_true_share            7.00     6.00  -0.93     0.44  0.10
## post6_true_reliable         7.00     6.00  -0.71    -0.18  0.11
## post6_true_conf             7.00     6.00  -0.90     0.85  0.09
## post6_true_share            7.00     6.00  -0.91     0.09  0.11
## post7_true_reliable         7.00     6.00  -0.77    -0.04  0.11
## post7_true_conf             7.00     6.00  -0.87     0.58  0.09
## post7_true_share            7.00     6.00  -0.84     0.07  0.11
## post8_true_reliable         7.00     6.00  -0.84     0.17  0.09
## post8_true_conf             7.00     6.00  -1.14     1.65  0.08
## post8_true_share            7.00     6.00  -1.14     1.72  0.08
## post9_false_reliable        7.00     6.00  -0.75     0.11  0.10
## post9_false_conf            7.00     6.00  -0.91     0.84  0.09
## post9_false_share           7.00     6.00  -0.91     0.25  0.10
## post10_false_reliable       7.00     6.00  -0.68    -0.13  0.09
## post10_false_conf           7.00     6.00  -0.80     0.37  0.08
## post10_false_share          7.00     6.00  -0.98     0.55  0.10
## post11_false_reliable       7.00     6.00  -0.75    -0.43  0.12
## post11_false_conf           7.00     6.00  -1.08     1.16  0.09
## post11_false_share          7.00     6.00  -0.87    -0.24  0.12
## post12_false_reliable       7.00     6.00  -0.64    -0.28  0.11
## post12_false_conf           7.00     6.00  -0.73     0.22  0.08
## post12_false_share          7.00     6.00  -0.88     0.17  0.11
## post13_false_reliable       7.00     6.00  -0.82     0.04  0.11
## post13_false_conf           7.00     6.00  -0.93     0.97  0.08
## post13_false_share          7.00     6.00  -1.02     0.33  0.11
## post14_false_reliable       7.00     6.00  -0.63    -0.66  0.13
## post14_false_conf           7.00     6.00  -0.98     0.60  0.10
## post14_false_share          7.00     6.00  -0.70    -0.60  0.13
## post15_false_reliable       7.00     6.00  -0.76    -0.23  0.11
## post15_false_conf           7.00     6.00  -0.91     1.03  0.09
## post15_false_share          7.00     6.00  -0.85     0.21  0.10
## post16_false_reliable       7.00     6.00  -0.79    -0.03  0.11
## post16_false_conf           7.00     6.00  -0.87     0.55  0.09
## post16_false_share          7.00     6.00  -0.82    -0.06  0.11
## age                        54.00    36.00   0.37    -0.17  0.47
## gender                      2.00     1.00   0.41    -1.84  0.03
## gender_text*                1.00     0.00    NaN      NaN  0.00
## edu                         6.00     4.00  -0.23    -0.34  0.07
## edu_text*                   1.00     0.00    NaN      NaN  0.00
## employ                      6.00     5.00   1.08     2.63  0.05
## employ_text*                2.00     1.00  14.73   216.03  0.00
## marital                     4.00     3.00  -0.44    -1.69  0.06
## marital_text*               1.00     0.00    NaN      NaN  0.00
## religion                   10.00     9.00   1.61     7.87  0.09
## religion_text*              1.00     0.00    NaN      NaN  0.00
## ses                        10.00     8.00   0.02    -0.75  0.13
## score                     827.00   443.00  -0.47    -0.30 17.27
## attention                 993.00   992.00  -1.37     0.61 20.36
## decep_total                44.00    43.00   2.01     2.28  0.80
## cse_total                  51.00    43.00  -0.93     0.21  0.57
## mach_total                 36.00    25.00  -0.31     1.14  0.25
## narc_total                 35.00    21.00  -0.21    -0.67  0.33
## psych_total                35.00    27.00  -0.49    -0.61  0.44
## sadism_total               35.00    28.00  -0.44    -0.57  0.50
## pi_total                   61.00    54.00   0.78     1.03  0.71
## pi_cultural_total          77.00    77.00  -0.73    -0.33  1.30
## pi_obedience_total         40.00    40.00  -0.57     0.11  0.50
## pi_selfreport              42.00    42.00  -1.09     0.02  0.82
## Prompt.1*                   8.00     7.00  -0.45    -0.38  0.11
## Prompt.2*                   2.00     1.00   1.87     1.52  0.02
## Prompt.3*                   2.00     1.00  -1.87     1.52  0.02
## Prompt.4*                   2.00     1.00  -1.87     1.52  0.02
## Prompt.5*                   2.00     1.00   1.87     1.52  0.02
## Prompt.6*                   2.00     1.00  -1.87     1.52  0.02
## Prompt.7*                   2.00     1.00   1.87     1.52  0.02
## Prompt.8*                   2.00     1.00  -1.87     1.52  0.02
## Prompt.9*                   2.00     1.00   1.87     1.52  0.02
## Prompt.10*                  2.00     1.00  -1.87     1.52  0.02
## Prompt.11*                  2.00     1.00   1.87     1.52  0.02
## Prompt.12*                  2.00     1.00   1.87     1.52  0.02
## Prompt.13*                  2.00     1.00  -1.87     1.52  0.02
## Prompt.14*                  2.00     1.00  -1.87     1.52  0.02
## Prompt.15*                  2.00     1.00   1.87     1.52  0.02
## X.1*                        2.00     1.00  -1.87     1.52  0.02
## condition*                  3.00     0.00    NaN      NaN  0.00
## nationality_rev*            1.00     0.00    NaN      NaN  0.00
## nationality_rev2            -Inf     -Inf     NA       NA    NA
## gender_rev*                 5.00     4.00   0.41    -1.84  0.13
## edu_rev*                    6.00     5.00   0.36    -1.43  0.12
## employ_rev*                 6.00     5.00   0.59    -1.38  0.12
## employ_combined*            2.00     1.00   1.51     0.28  0.03
## marital_rev*                5.00     4.00   0.43    -1.52  0.07
## religion_rev*              10.00     9.00   1.16     6.87  0.08
## pre_true_reliable          56.00    38.00  -0.17    -0.47  0.52
## pre_true_conf              56.00    35.00  -0.28    -0.40  0.51
## pre_true_share             56.00    48.00  -0.53     0.18  0.62
## pre_false_reliable         56.00    39.00  -0.37    -0.40  0.59
## pre_false_conf             56.00    36.00  -0.25    -0.34  0.51
## pre_false_share            56.00    48.00  -0.70     0.04  0.66
## post_true_reliable         56.00    38.00  -0.27    -0.43  0.57
## post_true_conf             56.00    35.00  -0.43    -0.04  0.52
## post_true_share            56.00    48.00  -0.66     0.39  0.63
## post_false_reliable        56.00    39.00  -0.33    -0.72  0.64
## post_false_conf            56.00    42.00  -0.59     0.86  0.50
## post_false_share           56.00    48.00  -0.81     0.16  0.72
## true_reliable             112.00    76.00  -0.14    -0.49  1.05
## true_conf                 112.00    67.00  -0.27    -0.27  1.00
## true_share                112.00    96.00  -0.56     0.34  1.23
## false_reliable            112.00    76.00  -0.33    -0.54  1.21
## false_conf                112.00    69.00  -0.32     0.20  0.99
## false_share               112.00    96.00  -0.75     0.15  1.38</code></pre>
<pre class="r"><code>depict &lt;- subset(crmisf, condition == &quot;depict&quot;)
psych::describe(depict)</code></pre>
<pre><code>## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf</code></pre>
<pre><code>## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf</code></pre>
<pre><code>## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf</code></pre>
<pre><code>##                         vars   n    mean      sd  median trimmed    mad     min
## X                          1 197  375.11  211.55  398.00  384.33 308.38    2.00
## PID*                       2   0     NaN      NA      NA     NaN     NA     Inf
## Start.Date                 3   0     NaN      NA      NA     NaN     NA     Inf
## End.Date                   4   0     NaN      NA      NA     NaN     NA     Inf
## Response.Type              5 197    0.00    0.00    0.00    0.00   0.00    0.00
## IP.Address                 6   0     NaN      NA      NA     NaN     NA     Inf
## Progress                   7 197  100.00    0.00  100.00  100.00   0.00  100.00
## Duration..in.seconds.      8 197 1437.42 1444.05 1097.00 1210.87 628.62  253.00
## Finished                   9 197    1.00    0.00    1.00    1.00   0.00    1.00
## Recorded.Date             10   0     NaN      NA      NA     NaN     NA     Inf
## Response.ID               11   0     NaN      NA      NA     NaN     NA     Inf
## Recipient.Last.Name       12   0     NaN      NA      NA     NaN     NA     Inf
## Recipient.First.Name      13   0     NaN      NA      NA     NaN     NA     Inf
## Recipient.Email           14   0     NaN      NA      NA     NaN     NA     Inf
## External.Data.Reference   15   0     NaN      NA      NA     NaN     NA     Inf
## Location.Latitude         16 197   22.04    6.59   22.52   22.26   7.63    8.18
## Location.Longitude        17 197   76.23   22.10   77.59   78.33   4.12 -118.24
## Distribution.Channel      18   0     NaN      NA      NA     NaN     NA     Inf
## User.Language             19   0     NaN      NA      NA     NaN     NA     Inf
## Q_RecaptchaScore          20  30    0.83    0.21    1.00    0.85   0.00    0.40
## consent                   21 197    1.00    0.00    1.00    1.00   0.00    1.00
## nationality               22 197    1.00    0.00    1.00    1.00   0.00    1.00
## nationality_text          23   0     NaN      NA      NA     NaN     NA     Inf
## pre1_true_reliable        24 197    5.64    1.10    6.00    5.70   1.48    2.00
## pre1_true_conf            25 197    5.63    1.17    6.00    5.72   1.48    2.00
## pre1_true_share           26 197    5.34    1.53    6.00    5.52   1.48    1.00
## pre2_true_reliable        27 197    5.45    1.22    6.00    5.53   1.48    1.00
## pre2_true_conf            28 195    5.46    1.28    6.00    5.56   1.48    2.00
## pre2_true_share           29 194    5.28    1.53    6.00    5.46   1.48    1.00
## pre3_true_reliable        30 197    5.04    1.45    5.00    5.15   1.48    1.00
## pre3_true_conf            31 197    5.47    1.13    6.00    5.53   1.48    2.00
## pre3_true_share           32 197    5.02    1.64    5.00    5.22   1.48    1.00
## pre4_true_reliable        33 196    4.88    1.40    5.00    4.94   1.48    1.00
## pre4_true_conf            34 197    5.35    1.24    5.00    5.43   1.48    1.00
## pre4_true_share           35 195    4.75    1.72    5.00    4.89   1.48    1.00
## pre5_true_reliable        36 197    4.94    1.45    5.00    5.03   1.48    1.00
## pre5_true_conf            37 197    5.38    1.28    6.00    5.47   1.48    1.00
## pre5_true_share           38 196    4.92    1.58    5.00    5.04   1.48    1.00
## pre6_true_reliable        39 196    4.80    1.71    5.00    4.95   1.48    1.00
## pre6_true_conf            40 196    5.34    1.31    5.00    5.46   1.48    1.00
## pre6_true_share           41 196    4.75    1.84    5.00    4.92   1.48    1.00
## pre7_true_reliable        42 197    4.84    1.56    5.00    4.97   1.48    1.00
## pre7_true_conf            43 196    5.28    1.36    5.00    5.38   1.48    1.00
## pre7_true_share           44 195    4.66    1.73    5.00    4.79   1.48    1.00
## pre8_true_reliable        45 197    5.87    1.17    6.00    6.03   1.48    1.00
## pre8_true_conf            46 195    5.91    1.12    6.00    6.06   1.48    2.00
## pre8_true_share           47 194    5.61    1.39    6.00    5.80   1.48    1.00
## pre9_false_reliable       48 196    5.16    1.56    5.00    5.32   1.48    1.00
## pre9_false_conf           49 194    5.49    1.24    6.00    5.61   1.48    1.00
## pre9_false_share          50 195    4.98    1.71    5.00    5.17   1.48    1.00
## pre10_false_reliable      51 196    4.89    1.65    5.00    5.06   1.48    1.00
## pre10_false_conf          52 196    5.54    1.29    6.00    5.64   1.48    1.00
## pre10_false_share         53 196    4.85    1.85    5.00    5.06   1.48    1.00
## pre11_false_reliable      54 197    4.38    1.91    5.00    4.47   1.48    1.00
## pre11_false_conf          55 196    5.32    1.47    6.00    5.50   1.48    1.00
## pre11_false_share         56 195    4.39    1.87    5.00    4.48   1.48    1.00
## pre12_false_reliable      57 197    4.75    1.70    5.00    4.90   1.48    1.00
## pre12_false_conf          58 197    5.45    1.29    6.00    5.55   1.48    1.00
## pre12_false_share         59 197    4.77    1.90    5.00    4.96   1.48    1.00
## pre13_false_reliable      60 196    4.98    1.80    5.50    5.20   2.22    1.00
## pre13_false_conf          61 197    5.55    1.32    6.00    5.70   1.48    1.00
## pre13_false_share         62 194    5.03    1.87    6.00    5.27   1.48    1.00
## pre14_false_reliable      63 195    4.31    2.09    5.00    4.38   2.97    1.00
## pre14_false_conf          64 196    5.51    1.42    6.00    5.69   1.48    1.00
## pre14_false_share         65 195    4.41    2.10    5.00    4.50   1.48    1.00
## pre15_false_reliable      66 195    4.97    1.55    5.00    5.12   1.48    1.00
## pre15_false_conf          67 195    5.36    1.28    6.00    5.44   1.48    2.00
## pre15_false_share         68 194    5.12    1.56    5.00    5.29   1.48    1.00
## pre16_false_reliable      69 194    4.96    1.63    5.00    5.12   1.48    1.00
## pre16_false_conf          70 194    5.31    1.36    5.50    5.45   0.74    1.00
## pre16_false_share         71 192    4.90    1.84    5.00    5.10   1.48    1.00
## prompt1*                  72 197    1.00    0.00    1.00    1.00   0.00    1.00
## prompt2*                  73 197    1.00    0.00    1.00    1.00   0.00    1.00
## prompt3*                  74 197    1.00    0.00    1.00    1.00   0.00    1.00
## prompt4*                  75 197    1.00    0.00    1.00    1.00   0.00    1.00
## prompt5*                  76 197    1.00    0.00    1.00    1.00   0.00    1.00
## prompt6*                  77 197    1.00    0.00    1.00    1.00   0.00    1.00
## prompt7*                  78 197    1.00    0.00    1.00    1.00   0.00    1.00
## prompt8*                  79 197    1.00    0.00    1.00    1.00   0.00    1.00
## prompt9*                  80 197    1.00    0.00    1.00    1.00   0.00    1.00
## prompt10*                 81 197    1.00    0.00    1.00    1.00   0.00    1.00
## prompt11*                 82 197    1.00    0.00    1.00    1.00   0.00    1.00
## prompt12*                 83 197    1.00    0.00    1.00    1.00   0.00    1.00
## prompt13*                 84 197    1.00    0.00    1.00    1.00   0.00    1.00
## prompt14*                 85 197    1.00    0.00    1.00    1.00   0.00    1.00
## prompt15                  86   0     NaN      NA      NA     NaN     NA     Inf
## depict                    87 197    1.00    0.00    1.00    1.00   0.00    1.00
## decs1                     88 197    3.61    1.17    4.00    3.75   1.48    1.00
## decs2_r                   89 197    3.64    1.18    4.00    3.76   1.48    1.00
## decs3                     90 197    3.81    0.92    4.00    3.87   1.48    1.00
## decs4                     91 197    3.85    0.92    4.00    3.93   1.48    1.00
## decs5                     92 196    3.70    1.07    4.00    3.80   1.48    1.00
## decs6                     93 197    3.23    1.36    3.00    3.28   1.48    1.00
## decs7                     94 197    3.35    1.27    4.00    3.43   1.48    1.00
## decs8_r                   95 197    3.80    1.16    4.00    3.92   1.48    1.00
## decs9                     96 197    3.48    1.20    4.00    3.59   1.48    1.00
## decs10_r                  97 197    3.99    1.00    4.00    4.14   1.48    1.00
## decs11                    98 197    3.02    1.46    3.00    3.02   1.48    1.00
## decs12                    99 197    3.80    1.03    4.00    3.91   1.48    1.00
## cse1                     100 197    4.64    1.12    5.00    4.75   1.48    1.00
## cse2                     101 197    4.82    0.99    5.00    4.91   1.48    2.00
## cse3_r                   102 197    3.51    1.67    4.00    3.52   1.48    1.00
## cse4                     103 197    4.46    1.16    5.00    4.57   1.48    1.00
## cse5                     104 197    4.69    1.04    5.00    4.79   1.48    1.00
## cse6_r                   105 197    4.25    1.23    4.00    4.33   1.48    1.00
## mach1                    106 197    4.13    0.88    4.00    4.25   1.48    1.00
## mach2                    107 197    3.79    0.99    4.00    3.89   1.48    1.00
## mach3                    108 197    3.85    0.92    4.00    3.94   1.48    1.00
## mach4                    109 197    3.87    0.97    4.00    3.97   1.48    1.00
## mach5                    110 197    3.90    0.92    4.00    4.01   0.00    1.00
## mach6                    111 197    3.57    1.13    4.00    3.66   1.48    1.00
## mach7                    112 197    4.02    0.96    4.00    4.14   1.48    1.00
## narc1                    113 197    3.52    1.17    4.00    3.60   1.48    1.00
## narc2                    114 197    3.58    1.06    4.00    3.64   1.48    1.00
## narc3                    115 197    3.36    1.15    3.00    3.43   1.48    1.00
## narc4                    116 197    3.43    1.10    4.00    3.48   1.48    1.00
## narc5                    117 197    3.84    0.92    4.00    3.91   1.48    1.00
## narc6                    118 197    3.46    1.26    4.00    3.57   1.48    1.00
## narc7                    119 197    3.11    1.39    3.00    3.13   1.48    1.00
## psy1                     120 197    3.05    1.35    3.00    3.06   1.48    1.00
## psy2                     121 197    3.31    1.23    4.00    3.39   1.48    1.00
## psy3                     122 197    2.92    1.43    3.00    2.90   1.48    1.00
## psy4                     123 197    3.30    1.27    4.00    3.38   1.48    1.00
## psy5                     124 197    2.81    1.45    3.00    2.77   1.48    1.00
## psy6                     125 197    3.38    1.22    4.00    3.47   1.48    1.00
## psy7                     126 197    3.50    1.15    4.00    3.58   1.48    1.00
## sadism1                  127 196    3.25    1.29    3.00    3.31   1.48    1.00
## sadism2                  128 197    3.25    1.37    4.00    3.31   1.48    1.00
## sadism3                  129 196    3.45    1.23    4.00    3.56   1.48    1.00
## sadism4                  130 197    3.14    1.45    3.00    3.18   1.48    1.00
## sadism5                  131 197    3.45    1.28    4.00    3.55   1.48    1.00
## sadism6                  132 197    3.01    1.44    3.00    3.01   1.48    1.00
## sadism7                  133 197    3.45    1.23    4.00    3.55   1.48    1.00
## attention1               134 197    4.72    0.85    5.00    4.95   0.00    1.00
## pi1                      135 195    3.91    2.16    4.00    3.89   2.97    1.00
## pi2                      136 195    4.12    2.14    4.00    4.15   2.97    1.00
## pi3                      137 195    4.82    1.91    5.00    5.01   1.48    1.00
## pi4                      138 195    3.92    2.05    4.00    3.90   2.97    1.00
## pi5                      139 195    4.93    1.78    5.00    5.12   1.48    1.00
## pi6                      140 195    4.88    1.77    5.00    5.05   1.48    1.00
## pi7                      141 195    5.46    1.61    6.00    5.70   1.48    1.00
## pi8                      142 195    4.66    1.86    5.00    4.77   1.48    1.00
## pi9                      143 195    5.44    1.69    6.00    5.69   1.48    1.00
## pi10                     144 195    5.56    1.44    6.00    5.77   1.48    1.00
## pi11                     145 195    5.89    1.24    6.00    6.10   1.48    1.00
## pi_self                  146 197    4.83    1.42    5.00    4.87   1.48    1.00
## attention2               147 196  612.98   14.29  614.00  614.00   0.00  414.00
## post1_true_reliable      148 197    5.48    1.15    5.00    5.55   1.48    2.00
## post1_true_conf          149 197    5.69    1.09    6.00    5.77   1.48    1.00
## post1_true_share         150 197    5.48    1.51    6.00    5.71   1.48    1.00
## post2_true_reliable      151 197    5.28    1.43    5.00    5.43   1.48    1.00
## post2_true_conf          152 197    5.58    1.23    6.00    5.70   1.48    2.00
## post2_true_share         153 197    5.08    1.65    5.00    5.28   1.48    1.00
## post3_true_reliable      154 197    4.90    1.54    5.00    5.02   1.48    1.00
## post3_true_conf          155 197    5.41    1.27    6.00    5.52   1.48    1.00
## post3_true_share         156 197    4.72    1.81    5.00    4.88   1.48    1.00
## post4_true_reliable      157 197    4.88    1.52    5.00    4.97   1.48    1.00
## post4_true_conf          158 197    5.31    1.27    5.00    5.38   1.48    1.00
## post4_true_share         159 196    4.72    1.67    5.00    4.86   1.48    1.00
## post5_true_reliable      160 197    4.82    1.59    5.00    4.93   1.48    1.00
## post5_true_conf          161 196    5.40    1.22    6.00    5.48   1.48    1.00
## post5_true_share         162 197    4.68    1.79    5.00    4.84   1.48    1.00
## post6_true_reliable      163 197    4.62    1.77    5.00    4.75   1.48    1.00
## post6_true_conf          164 196    5.44    1.25    6.00    5.55   1.48    1.00
## post6_true_share         165 196    4.72    1.86    5.00    4.89   1.48    1.00
## post7_true_reliable      166 197    4.81    1.62    5.00    4.94   1.48    1.00
## post7_true_conf          167 195    5.30    1.36    5.00    5.41   1.48    1.00
## post7_true_share         168 195    4.77    1.80    5.00    4.94   1.48    1.00
## post8_true_reliable      169 197    5.74    1.13    6.00    5.85   1.48    2.00
## post8_true_conf          170 197    5.77    1.12    6.00    5.87   1.48    1.00
## post8_true_share         171 196    5.56    1.40    6.00    5.74   1.48    1.00
## post9_false_reliable     172 197    5.06    1.54    5.00    5.21   1.48    1.00
## post9_false_conf         173 197    5.47    1.32    6.00    5.62   1.48    1.00
## post9_false_share        174 196    4.93    1.74    5.00    5.11   1.48    1.00
## post10_false_reliable    175 197    4.94    1.75    5.00    5.14   1.48    1.00
## post10_false_conf        176 197    5.55    1.30    6.00    5.69   1.48    1.00
## post10_false_share       177 196    4.80    1.91    5.00    4.99   1.48    1.00
## post11_false_reliable    178 197    4.35    1.90    5.00    4.43   1.48    1.00
## post11_false_conf        179 196    5.39    1.39    6.00    5.56   1.48    1.00
## post11_false_share       180 195    4.38    1.96    5.00    4.47   1.48    1.00
## post12_false_reliable    181 197    4.58    1.79    5.00    4.72   1.48    1.00
## post12_false_conf        182 197    5.31    1.37    6.00    5.45   1.48    1.00
## post12_false_share       183 197    4.54    1.89    5.00    4.67   1.48    1.00
## post13_false_reliable    184 196    5.06    1.83    6.00    5.29   1.48    1.00
## post13_false_conf        185 196    5.57    1.31    6.00    5.72   1.48    1.00
## post13_false_share       186 195    4.84    1.93    5.00    5.04   1.48    1.00
## post14_false_reliable    187 196    4.33    1.95    4.50    4.41   2.22    1.00
## post14_false_conf        188 197    5.47    1.42    6.00    5.66   1.48    1.00
## post14_false_share       189 197    4.47    2.05    5.00    4.58   1.48    1.00
## post15_false_reliable    190 196    4.93    1.66    5.00    5.11   1.48    1.00
## post15_false_conf        191 197    5.39    1.27    6.00    5.50   1.48    1.00
## post15_false_share       192 197    4.91    1.73    5.00    5.09   1.48    1.00
## post16_false_reliable    193 197    4.81    1.82    5.00    5.00   1.48    1.00
## post16_false_conf        194 197    5.46    1.32    6.00    5.60   1.48    1.00
## post16_false_share       195 197    4.75    1.95    5.00    4.92   1.48    1.00
## age                      196 197   30.50    7.51   30.00   30.11   7.41   18.00
## gender                   197 197    1.39    0.49    1.00    1.36   0.00    1.00
## gender_text*             198 197    1.00    0.00    1.00    1.00   0.00    1.00
## edu                      199 197    4.12    1.13    4.00    4.14   1.48    2.00
## edu_text*                200 197    1.00    0.00    1.00    1.00   0.00    1.00
## employ                   201 197    2.14    0.81    2.00    2.10   0.00    1.00
## employ_text*             202 197    1.02    0.16    1.00    1.00   0.00    1.00
## marital                  203 197    2.17    1.03    3.00    2.17   0.00    1.00
## marital_text*            204 197    1.00    0.00    1.00    1.00   0.00    1.00
## religion                 205 197    3.87    1.16    4.00    3.89   0.00    1.00
## religion_text*           206 197    1.01    0.07    1.00    1.00   0.00    1.00
## ses                      207 197    5.98    1.86    6.00    5.96   1.48    1.00
## score                    208  74  682.32   98.88  669.00  677.47  86.73  478.00
## attention                209 197  475.97  379.87  637.00  477.44 346.93    1.00
## decep_total              210 197   13.99   16.34    2.00   11.97   0.00    1.00
## cse_total                211 197   35.06    9.38   36.00   35.25  11.86   13.00
## mach_total               212 197   24.85    3.73   25.00   24.85   2.97   12.00
## narc_total               213 197   25.54    5.78   26.00   25.89   5.93   11.00
## psych_total              214 197   23.25    6.87   23.00   23.49   8.90    7.00
## sadism_total             215 197   22.20    7.30   22.00   22.28   8.90    7.00
## pi_total                 216 197   34.56   13.58   31.00   33.83  11.86    9.00
## pi_cultural_total        217 197   41.62   21.80   46.00   41.69  29.65    0.00
## pi_obedience_total       218 197   25.91    8.39   27.00   26.67   7.41    0.00
## pi_selfreport            219 197   21.82   14.80   27.00   21.86  17.79    0.00
## Prompt.1*                220 197    4.16    2.73    5.00    4.08   4.45    1.00
## Prompt.2*                221 197    1.00    0.00    1.00    1.00   0.00    1.00
## Prompt.3*                222 197    1.00    0.00    1.00    1.00   0.00    1.00
## Prompt.4*                223 197    1.00    0.00    1.00    1.00   0.00    1.00
## Prompt.5*                224 197    1.00    0.00    1.00    1.00   0.00    1.00
## Prompt.6*                225 197    1.00    0.00    1.00    1.00   0.00    1.00
## Prompt.7*                226 197    1.00    0.00    1.00    1.00   0.00    1.00
## Prompt.8*                227 197    1.00    0.00    1.00    1.00   0.00    1.00
## Prompt.9*                228 197    1.00    0.00    1.00    1.00   0.00    1.00
## Prompt.10*               229 197    1.00    0.00    1.00    1.00   0.00    1.00
## Prompt.11*               230 197    1.00    0.00    1.00    1.00   0.00    1.00
## Prompt.12*               231 197    1.00    0.00    1.00    1.00   0.00    1.00
## Prompt.13*               232 197    1.00    0.00    1.00    1.00   0.00    1.00
## Prompt.14*               233 197    1.00    0.00    1.00    1.00   0.00    1.00
## Prompt.15*               234 197    1.00    0.00    1.00    1.00   0.00    1.00
## X.1*                     235 197    1.00    0.00    1.00    1.00   0.00    1.00
## condition*               236 197    2.00    0.00    2.00    2.00   0.00    2.00
## nationality_rev*         237 197    1.00    0.00    1.00    1.00   0.00    1.00
## nationality_rev2         238   0     NaN      NA      NA     NaN     NA     Inf
## gender_rev*              239 197    2.54    1.95    1.00    2.43   0.00    1.00
## edu_rev*                 240 197    3.67    1.80    4.00    3.64   2.97    1.00
## employ_rev*              241 197    2.64    1.86    1.00    2.50   0.00    1.00
## employ_combined*         242 197    1.23    0.42    1.00    1.17   0.00    1.00
## marital_rev*             243 197    2.89    1.05    2.00    2.86   0.00    1.00
## religion_rev*            244 197    3.84    1.01    4.00    3.89   0.00    1.00
## pre_true_reliable        245 195   41.50    6.93   41.00   41.41   8.90   27.00
## pre_true_conf            246 192   43.73    6.76   44.00   43.84   7.41   23.00
## pre_true_share           247 187   40.28    8.89   41.00   40.77   8.90    8.00
## pre_false_reliable       248 190   38.57    9.35   38.00   38.70  10.38   15.00
## pre_false_conf           249 187   43.55    7.20   44.00   43.75   5.93   22.00
## pre_false_share          250 183   38.37   10.97   39.00   39.04  11.86    8.00
## post_true_reliable       251 197   40.52    8.13   41.00   40.69   8.90   13.00
## post_true_conf           252 193   43.93    7.07   45.00   44.13   5.93   13.00
## post_true_share          253 192   39.84   10.31   41.00   40.66  10.38    8.00
## post_false_reliable      254 194   38.06   10.36   39.00   38.35  10.38    9.00
## post_false_conf          255 195   43.66    7.68   45.00   44.10   5.93   18.00
## post_false_share         256 191   37.47   12.07   39.00   38.29  11.86    8.00
## true_reliable            257 195   82.10   14.22   82.00   81.98  16.31   51.00
## true_conf                258 189   87.67   13.11   88.00   87.84  13.34   47.00
## true_share               259 183   80.23   18.52   81.00   81.44  17.79   16.00
## false_reliable           260 187   76.72   19.18   78.00   77.18  19.27   33.00
## false_conf               261 185   87.39   14.33   88.00   87.97  11.86   41.00
## false_share              262 180   75.71   22.50   78.50   77.17  22.98   16.00
##                              max    range   skew kurtosis     se
## X                         648.00   646.00  -0.22    -1.40  15.07
## PID*                        -Inf     -Inf     NA       NA     NA
## Start.Date                  -Inf     -Inf     NA       NA     NA
## End.Date                    -Inf     -Inf     NA       NA     NA
## Response.Type               0.00     0.00    NaN      NaN   0.00
## IP.Address                  -Inf     -Inf     NA       NA     NA
## Progress                  100.00     0.00    NaN      NaN   0.00
## Duration..in.seconds.   16031.00 15778.00   5.97    52.67 102.88
## Finished                    1.00     0.00    NaN      NaN   0.00
## Recorded.Date               -Inf     -Inf     NA       NA     NA
## Response.ID                 -Inf     -Inf     NA       NA     NA
## Recipient.Last.Name         -Inf     -Inf     NA       NA     NA
## Recipient.First.Name        -Inf     -Inf     NA       NA     NA
## Recipient.Email             -Inf     -Inf     NA       NA     NA
## External.Data.Reference     -Inf     -Inf     NA       NA     NA
## Location.Latitude          40.72    32.53  -0.20    -0.90   0.47
## Location.Longitude         91.73   209.97  -7.47    57.43   1.57
## Distribution.Channel        -Inf     -Inf     NA       NA     NA
## User.Language               -Inf     -Inf     NA       NA     NA
## Q_RecaptchaScore            1.00     0.60  -0.61    -1.24   0.04
## consent                     1.00     0.00    NaN      NaN   0.00
## nationality                 1.00     0.00    NaN      NaN   0.00
## nationality_text            -Inf     -Inf     NA       NA     NA
## pre1_true_reliable          7.00     5.00  -0.41    -0.58   0.08
## pre1_true_conf              7.00     5.00  -0.63    -0.02   0.08
## pre1_true_share             7.00     6.00  -0.79    -0.02   0.11
## pre2_true_reliable          7.00     6.00  -0.56    -0.04   0.09
## pre2_true_conf              7.00     5.00  -0.60    -0.27   0.09
## pre2_true_share             7.00     6.00  -0.86     0.27   0.11
## pre3_true_reliable          7.00     6.00  -0.77     0.22   0.10
## pre3_true_conf              7.00     5.00  -0.48    -0.23   0.08
## pre3_true_share             7.00     6.00  -0.88     0.26   0.12
## pre4_true_reliable          7.00     6.00  -0.42    -0.34   0.10
## pre4_true_conf              7.00     6.00  -0.61     0.24   0.09
## pre4_true_share             7.00     6.00  -0.67    -0.44   0.12
## pre5_true_reliable          7.00     6.00  -0.55    -0.09   0.10
## pre5_true_conf              7.00     6.00  -0.62     0.13   0.09
## pre5_true_share             7.00     6.00  -0.53    -0.39   0.11
## pre6_true_reliable          7.00     6.00  -0.58    -0.50   0.12
## pre6_true_conf              7.00     6.00  -0.69     0.16   0.09
## pre6_true_share             7.00     6.00  -0.60    -0.62   0.13
## pre7_true_reliable          7.00     6.00  -0.62    -0.08   0.11
## pre7_true_conf              7.00     6.00  -0.53    -0.33   0.10
## pre7_true_share             7.00     6.00  -0.48    -0.58   0.12
## pre8_true_reliable          7.00     6.00  -1.10     1.13   0.08
## pre8_true_conf              7.00     5.00  -0.91     0.16   0.08
## pre8_true_share             7.00     6.00  -1.14     1.19   0.10
## pre9_false_reliable         7.00     6.00  -0.71    -0.07   0.11
## pre9_false_conf             7.00     6.00  -0.80     0.38   0.09
## pre9_false_share            7.00     6.00  -0.82    -0.12   0.12
## pre10_false_reliable        7.00     6.00  -0.73    -0.07   0.12
## pre10_false_conf            7.00     6.00  -0.62    -0.16   0.09
## pre10_false_share           7.00     6.00  -0.71    -0.39   0.13
## pre11_false_reliable        7.00     6.00  -0.43    -0.97   0.14
## pre11_false_conf            7.00     6.00  -0.94     0.34   0.11
## pre11_false_share           7.00     6.00  -0.34    -0.96   0.13
## pre12_false_reliable        7.00     6.00  -0.69    -0.26   0.12
## pre12_false_conf            7.00     6.00  -0.64     0.02   0.09
## pre12_false_share           7.00     6.00  -0.60    -0.66   0.14
## pre13_false_reliable        7.00     6.00  -0.85    -0.21   0.13
## pre13_false_conf            7.00     6.00  -0.91     0.56   0.09
## pre13_false_share           7.00     6.00  -0.85    -0.34   0.13
## pre14_false_reliable        7.00     6.00  -0.32    -1.21   0.15
## pre14_false_conf            7.00     6.00  -0.98     0.60   0.10
## pre14_false_share           7.00     6.00  -0.41    -1.21   0.15
## pre15_false_reliable        7.00     6.00  -0.72     0.01   0.11
## pre15_false_conf            7.00     5.00  -0.51    -0.33   0.09
## pre15_false_share           7.00     6.00  -0.82     0.19   0.11
## pre16_false_reliable        7.00     6.00  -0.66    -0.32   0.12
## pre16_false_conf            7.00     6.00  -0.75     0.23   0.10
## pre16_false_share           7.00     6.00  -0.71    -0.48   0.13
## prompt1*                    1.00     0.00    NaN      NaN   0.00
## prompt2*                    1.00     0.00    NaN      NaN   0.00
## prompt3*                    1.00     0.00    NaN      NaN   0.00
## prompt4*                    1.00     0.00    NaN      NaN   0.00
## prompt5*                    1.00     0.00    NaN      NaN   0.00
## prompt6*                    1.00     0.00    NaN      NaN   0.00
## prompt7*                    1.00     0.00    NaN      NaN   0.00
## prompt8*                    1.00     0.00    NaN      NaN   0.00
## prompt9*                    1.00     0.00    NaN      NaN   0.00
## prompt10*                   1.00     0.00    NaN      NaN   0.00
## prompt11*                   1.00     0.00    NaN      NaN   0.00
## prompt12*                   1.00     0.00    NaN      NaN   0.00
## prompt13*                   1.00     0.00    NaN      NaN   0.00
## prompt14*                   1.00     0.00    NaN      NaN   0.00
## prompt15                    -Inf     -Inf     NA       NA     NA
## depict                      1.00     0.00    NaN      NaN   0.00
## decs1                       5.00     4.00  -0.90     0.07   0.08
## decs2_r                     5.00     4.00  -0.68    -0.36   0.08
## decs3                       5.00     4.00  -0.54     0.03   0.07
## decs4                       5.00     4.00  -0.89     1.11   0.07
## decs5                       5.00     4.00  -0.73     0.02   0.08
## decs6                       5.00     4.00  -0.34    -1.09   0.10
## decs7                       5.00     4.00  -0.45    -0.92   0.09
## decs8_r                     5.00     4.00  -0.71    -0.39   0.08
## decs9                       5.00     4.00  -0.60    -0.51   0.09
## decs10_r                    5.00     4.00  -0.97     0.44   0.07
## decs11                      5.00     4.00  -0.17    -1.41   0.10
## decs12                      5.00     4.00  -0.88     0.28   0.07
## cse1                        6.00     5.00  -0.78     0.26   0.08
## cse2                        6.00     4.00  -0.77     0.47   0.07
## cse3_r                      6.00     5.00  -0.05    -1.34   0.12
## cse4                        6.00     5.00  -0.78     0.33   0.08
## cse5                        6.00     5.00  -0.85     0.88   0.07
## cse6_r                      6.00     5.00  -0.42    -0.48   0.09
## mach1                       5.00     4.00  -1.25     2.04   0.06
## mach2                       5.00     4.00  -0.83     0.40   0.07
## mach3                       5.00     4.00  -0.77     0.58   0.07
## mach4                       5.00     4.00  -0.72     0.04   0.07
## mach5                       5.00     4.00  -1.01     1.13   0.07
## mach6                       5.00     4.00  -0.60    -0.37   0.08
## mach7                       5.00     4.00  -1.08     1.08   0.07
## narc1                       5.00     4.00  -0.45    -0.66   0.08
## narc2                       5.00     4.00  -0.44    -0.45   0.08
## narc3                       5.00     4.00  -0.35    -0.59   0.08
## narc4                       5.00     4.00  -0.42    -0.52   0.08
## narc5                       5.00     4.00  -0.55    -0.11   0.07
## narc6                       5.00     4.00  -0.49    -0.79   0.09
## narc7                       5.00     4.00  -0.10    -1.28   0.10
## psy1                        5.00     4.00  -0.11    -1.19   0.10
## psy2                        5.00     4.00  -0.40    -0.82   0.09
## psy3                        5.00     4.00   0.03    -1.34   0.10
## psy4                        5.00     4.00  -0.36    -0.99   0.09
## psy5                        5.00     4.00   0.07    -1.43   0.10
## psy6                        5.00     4.00  -0.47    -0.77   0.09
## psy7                        5.00     4.00  -0.52    -0.45   0.08
## sadism1                     5.00     4.00  -0.25    -1.09   0.09
## sadism2                     5.00     4.00  -0.32    -1.16   0.10
## sadism3                     5.00     4.00  -0.56    -0.64   0.09
## sadism4                     5.00     4.00  -0.17    -1.36   0.10
## sadism5                     5.00     4.00  -0.55    -0.77   0.09
## sadism6                     5.00     4.00  -0.18    -1.39   0.10
## sadism7                     5.00     4.00  -0.52    -0.71   0.09
## attention1                  5.00     4.00  -3.31    10.46   0.06
## pi1                         7.00     6.00  -0.09    -1.50   0.15
## pi2                         7.00     6.00  -0.22    -1.35   0.15
## pi3                         7.00     6.00  -0.65    -0.75   0.14
## pi4                         7.00     6.00  -0.11    -1.38   0.15
## pi5                         7.00     6.00  -0.79    -0.38   0.13
## pi6                         7.00     6.00  -0.65    -0.46   0.13
## pi7                         7.00     6.00  -1.11     0.44   0.12
## pi8                         7.00     6.00  -0.38    -1.00   0.13
## pi9                         7.00     6.00  -1.04     0.26   0.12
## pi10                        7.00     6.00  -1.08     0.72   0.10
## pi11                        7.00     6.00  -1.57     3.03   0.09
## pi_self                     7.00     6.00  -0.13    -0.42   0.10
## attention2                614.00   200.00 -13.79   189.03   1.02
## post1_true_reliable         7.00     5.00  -0.49    -0.01   0.08
## post1_true_conf             7.00     6.00  -0.70     0.59   0.08
## post1_true_share            7.00     6.00  -1.15     1.08   0.11
## post2_true_reliable         7.00     6.00  -0.77     0.33   0.10
## post2_true_conf             7.00     5.00  -0.77     0.24   0.09
## post2_true_share            7.00     6.00  -0.82     0.08   0.12
## post3_true_reliable         7.00     6.00  -0.59    -0.15   0.11
## post3_true_conf             7.00     6.00  -0.76     0.30   0.09
## post3_true_share            7.00     6.00  -0.62    -0.53   0.13
## post4_true_reliable         7.00     6.00  -0.49    -0.40   0.11
## post4_true_conf             7.00     6.00  -0.66     0.55   0.09
## post4_true_share            7.00     6.00  -0.55    -0.29   0.12
## post5_true_reliable         7.00     6.00  -0.56    -0.21   0.11
## post5_true_conf             7.00     6.00  -0.64     0.26   0.09
## post5_true_share            7.00     6.00  -0.59    -0.47   0.13
## post6_true_reliable         7.00     6.00  -0.52    -0.64   0.13
## post6_true_conf             7.00     6.00  -0.78     0.49   0.09
## post6_true_share            7.00     6.00  -0.58    -0.67   0.13
## post7_true_reliable         7.00     6.00  -0.56    -0.23   0.12
## post7_true_conf             7.00     6.00  -0.61     0.02   0.10
## post7_true_share            7.00     6.00  -0.56    -0.54   0.13
## post8_true_reliable         7.00     5.00  -0.76     0.18   0.08
## post8_true_conf             7.00     6.00  -0.78     0.59   0.08
## post8_true_share            7.00     6.00  -1.05     0.80   0.10
## post9_false_reliable        7.00     6.00  -0.69    -0.01   0.11
## post9_false_conf            7.00     6.00  -0.91     0.57   0.09
## post9_false_share           7.00     6.00  -0.80    -0.24   0.12
## post10_false_reliable       7.00     6.00  -0.84    -0.17   0.12
## post10_false_conf           7.00     6.00  -0.97     1.07   0.09
## post10_false_share          7.00     6.00  -0.67    -0.62   0.14
## post11_false_reliable       7.00     6.00  -0.43    -0.93   0.14
## post11_false_conf           7.00     6.00  -0.98     0.79   0.10
## post11_false_share          7.00     6.00  -0.42    -1.02   0.14
## post12_false_reliable       7.00     6.00  -0.56    -0.59   0.13
## post12_false_conf           7.00     6.00  -0.91     0.66   0.10
## post12_false_share          7.00     6.00  -0.56    -0.80   0.13
## post13_false_reliable       7.00     6.00  -0.86    -0.22   0.13
## post13_false_conf           7.00     6.00  -0.95     0.92   0.09
## post13_false_share          7.00     6.00  -0.67    -0.63   0.14
## post14_false_reliable       7.00     6.00  -0.31    -1.02   0.14
## post14_false_conf           7.00     6.00  -1.06     0.75   0.10
## post14_false_share          7.00     6.00  -0.40    -1.12   0.15
## post15_false_reliable       7.00     6.00  -0.73    -0.16   0.12
## post15_false_conf           7.00     6.00  -0.71     0.28   0.09
## post15_false_share          7.00     6.00  -0.72    -0.28   0.12
## post16_false_reliable       7.00     6.00  -0.71    -0.49   0.13
## post16_false_conf           7.00     6.00  -0.98     0.97   0.09
## post16_false_share          7.00     6.00  -0.63    -0.76   0.14
## age                        53.00    35.00   0.51    -0.17   0.54
## gender                      2.00     1.00   0.47    -1.79   0.03
## gender_text*                1.00     0.00    NaN      NaN   0.00
## edu                         6.00     4.00  -0.46    -0.29   0.08
## edu_text*                   1.00     0.00    NaN      NaN   0.00
## employ                      6.00     5.00   0.84     1.94   0.06
## employ_text*                3.00     2.00  11.08   127.76   0.01
## marital                     5.00     4.00  -0.11    -1.58   0.07
## marital_text*               1.00     0.00    NaN      NaN   0.00
## religion                   10.00     9.00   1.20     9.26   0.08
## religion_text*              2.00     1.00  13.82   190.03   0.01
## ses                        10.00     9.00   0.16    -0.48   0.13
## score                    1000.00   522.00   0.59     0.45  11.50
## attention                 993.00   992.00  -0.33    -1.68  27.06
## decep_total                51.00    50.00   0.73    -1.17   1.16
## cse_total                  51.00    38.00  -0.18    -1.18   0.67
## mach_total                 35.00    23.00  -0.11     0.34   0.27
## narc_total                 35.00    24.00  -0.49    -0.47   0.41
## psych_total                35.00    28.00  -0.24    -0.74   0.49
## sadism_total               35.00    28.00  -0.07    -0.94   0.52
## pi_total                   77.00    68.00   0.59    -0.10   0.97
## pi_cultural_total          77.00    77.00  -0.07    -1.45   1.55
## pi_obedience_total         42.00    42.00  -0.81     0.51   0.60
## pi_selfreport              42.00    42.00  -0.19    -1.71   1.05
## Prompt.1*                   8.00     7.00  -0.03    -1.61   0.19
## Prompt.2*                   1.00     0.00    NaN      NaN   0.00
## Prompt.3*                   1.00     0.00    NaN      NaN   0.00
## Prompt.4*                   1.00     0.00    NaN      NaN   0.00
## Prompt.5*                   1.00     0.00    NaN      NaN   0.00
## Prompt.6*                   1.00     0.00    NaN      NaN   0.00
## Prompt.7*                   1.00     0.00    NaN      NaN   0.00
## Prompt.8*                   1.00     0.00    NaN      NaN   0.00
## Prompt.9*                   1.00     0.00    NaN      NaN   0.00
## Prompt.10*                  1.00     0.00    NaN      NaN   0.00
## Prompt.11*                  1.00     0.00    NaN      NaN   0.00
## Prompt.12*                  1.00     0.00    NaN      NaN   0.00
## Prompt.13*                  1.00     0.00    NaN      NaN   0.00
## Prompt.14*                  1.00     0.00    NaN      NaN   0.00
## Prompt.15*                  1.00     0.00    NaN      NaN   0.00
## X.1*                        1.00     0.00    NaN      NaN   0.00
## condition*                  2.00     0.00    NaN      NaN   0.00
## nationality_rev*            1.00     0.00    NaN      NaN   0.00
## nationality_rev2            -Inf     -Inf     NA       NA     NA
## gender_rev*                 5.00     4.00   0.47    -1.79   0.14
## edu_rev*                    6.00     5.00   0.16    -1.71   0.13
## employ_rev*                 6.00     5.00   0.37    -1.62   0.13
## employ_combined*            2.00     1.00   1.25    -0.44   0.03
## marital_rev*                5.00     4.00   0.22    -1.67   0.08
## religion_rev*               8.00     7.00  -0.36     3.60   0.07
## pre_true_reliable          56.00    29.00   0.06    -0.82   0.50
## pre_true_conf              56.00    33.00  -0.21    -0.45   0.49
## pre_true_share             56.00    48.00  -0.65     0.78   0.65
## pre_false_reliable         56.00    41.00  -0.11    -0.75   0.68
## pre_false_conf             56.00    34.00  -0.35    -0.01   0.53
## pre_false_share            56.00    48.00  -0.54    -0.26   0.81
## post_true_reliable         56.00    43.00  -0.31     0.07   0.58
## post_true_conf             56.00    43.00  -0.51     1.00   0.51
## post_true_share            56.00    48.00  -0.81     0.79   0.74
## post_false_reliable        56.00    47.00  -0.31    -0.47   0.74
## post_false_conf            56.00    38.00  -0.65     0.45   0.55
## post_false_share           56.00    48.00  -0.55    -0.46   0.87
## true_reliable             112.00    61.00   0.02    -0.61   1.02
## true_conf                 112.00    65.00  -0.21    -0.18   0.95
## true_share                112.00    96.00  -0.68     0.67   1.37
## false_reliable            112.00    79.00  -0.20    -0.67   1.40
## false_conf                112.00    71.00  -0.48     0.28   1.05
## false_share               112.00    96.00  -0.54    -0.29   1.68</code></pre>
<pre class="r"><code>control &lt;- subset(crmisf, condition == &quot;control&quot;)
psych::describe(control)</code></pre>
<pre><code>## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf</code></pre>
<pre><code>## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf</code></pre>
<pre><code>## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf

## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf</code></pre>
<pre><code>##                         vars   n    mean      sd median trimmed    mad    min
## X                          1 218  293.00  171.39  291.0  292.38 219.42   1.00
## PID*                       2   0     NaN      NA     NA     NaN     NA    Inf
## Start.Date                 3   0     NaN      NA     NA     NaN     NA    Inf
## End.Date                   4   0     NaN      NA     NA     NaN     NA    Inf
## Response.Type              5 218    0.00    0.00    0.0    0.00   0.00   0.00
## IP.Address                 6   0     NaN      NA     NA     NaN     NA    Inf
## Progress                   7 218  100.00    0.00  100.0  100.00   0.00 100.00
## Duration..in.seconds.      8 218 1340.26 2558.17  866.0  980.73 646.41 120.00
## Finished                   9 218    1.00    0.00    1.0    1.00   0.00   1.00
## Recorded.Date             10   0     NaN      NA     NA     NaN     NA    Inf
## Response.ID               11   0     NaN      NA     NA     NaN     NA    Inf
## Recipient.Last.Name       12   0     NaN      NA     NA     NaN     NA    Inf
## Recipient.First.Name      13   0     NaN      NA     NA     NaN     NA    Inf
## Recipient.Email           14   0     NaN      NA     NA     NaN     NA    Inf
## External.Data.Reference   15   0     NaN      NA     NA     NaN     NA    Inf
## Location.Latitude         16 218   23.12    6.30   25.6   23.70   4.53   8.10
## Location.Longitude        17 218   79.09    7.11   77.4   78.55   3.94  20.46
## Distribution.Channel      18   0     NaN      NA     NA     NaN     NA    Inf
## User.Language             19   0     NaN      NA     NA     NaN     NA    Inf
## Q_RecaptchaScore          20  53    0.76    0.21    0.7    0.77   0.30   0.20
## consent                   21 218    1.00    0.00    1.0    1.00   0.00   1.00
## nationality               22 218    1.00    0.00    1.0    1.00   0.00   1.00
## nationality_text          23   0     NaN      NA     NA     NaN     NA    Inf
## pre1_true_reliable        24 218    5.55    1.33    6.0    5.71   1.48   1.00
## pre1_true_conf            25 218    5.61    1.31    6.0    5.77   1.48   1.00
## pre1_true_share           26 218    5.59    1.40    6.0    5.77   1.48   1.00
## pre2_true_reliable        27 217    5.37    1.41    6.0    5.53   1.48   1.00
## pre2_true_conf            28 216    5.53    1.23    6.0    5.64   1.48   1.00
## pre2_true_share           29 216    5.48    1.42    6.0    5.65   1.48   1.00
## pre3_true_reliable        30 217    5.06    1.45    5.0    5.19   1.48   1.00
## pre3_true_conf            31 216    5.32    1.31    5.0    5.43   1.48   1.00
## pre3_true_share           32 212    4.98    1.61    5.0    5.15   1.48   1.00
## pre4_true_reliable        33 218    5.09    1.45    5.0    5.23   1.48   1.00
## pre4_true_conf            34 218    5.47    1.27    6.0    5.60   1.48   1.00
## pre4_true_share           35 217    5.25    1.50    6.0    5.45   1.48   1.00
## pre5_true_reliable        36 217    5.03    1.55    5.0    5.21   1.48   1.00
## pre5_true_conf            37 216    5.46    1.41    6.0    5.64   1.48   1.00
## pre5_true_share           38 215    5.14    1.66    6.0    5.38   1.48   1.00
## pre6_true_reliable        39 218    5.09    1.52    5.0    5.23   1.48   1.00
## pre6_true_conf            40 217    5.36    1.42    6.0    5.54   1.48   1.00
## pre6_true_share           41 218    5.04    1.65    5.0    5.24   1.48   1.00
## pre7_true_reliable        42 216    5.03    1.52    5.0    5.17   1.48   1.00
## pre7_true_conf            43 215    5.39    1.31    6.0    5.53   1.48   1.00
## pre7_true_share           44 214    5.16    1.60    5.0    5.37   1.48   1.00
## pre8_true_reliable        45 215    5.62    1.33    6.0    5.78   1.48   1.00
## pre8_true_conf            46 215    5.76    1.27    6.0    5.94   1.48   1.00
## pre8_true_share           47 216    5.63    1.38    6.0    5.83   1.48   1.00
## pre9_false_reliable       48 217    5.18    1.44    5.0    5.33   1.48   1.00
## pre9_false_conf           49 215    5.44    1.28    6.0    5.56   1.48   1.00
## pre9_false_share          50 213    5.18    1.63    6.0    5.39   1.48   1.00
## pre10_false_reliable      51 218    5.08    1.64    5.0    5.30   1.48   1.00
## pre10_false_conf          52 216    5.63    1.23    6.0    5.75   1.48   1.00
## pre10_false_share         53 216    5.19    1.65    6.0    5.43   1.48   1.00
## pre11_false_reliable      54 217    4.86    1.74    5.0    5.05   1.48   1.00
## pre11_false_conf          55 216    5.37    1.45    6.0    5.54   1.48   1.00
## pre11_false_share         56 216    4.96    1.82    5.0    5.17   1.48   1.00
## pre12_false_reliable      57 217    5.00    1.52    5.0    5.13   1.48   1.00
## pre12_false_conf          58 218    5.40    1.37    6.0    5.56   1.48   1.00
## pre12_false_share         59 217    5.08    1.67    5.0    5.30   1.48   1.00
## pre13_false_reliable      60 218    5.17    1.58    5.0    5.35   1.48   1.00
## pre13_false_conf          61 217    5.55    1.37    6.0    5.71   1.48   1.00
## pre13_false_share         62 216    5.23    1.61    5.0    5.45   1.48   1.00
## pre14_false_reliable      63 217    4.49    1.94    5.0    4.61   1.48   1.00
## pre14_false_conf          64 217    5.30    1.63    6.0    5.53   1.48   1.00
## pre14_false_share         65 216    4.62    2.00    5.0    4.78   1.48   1.00
## pre15_false_reliable      66 218    5.01    1.52    5.0    5.14   1.48   1.00
## pre15_false_conf          67 217    5.41    1.27    6.0    5.54   1.48   1.00
## pre15_false_share         68 217    5.09    1.56    5.0    5.25   1.48   1.00
## pre16_false_reliable      69 217    5.11    1.42    5.0    5.22   1.48   1.00
## pre16_false_conf          70 215    5.27    1.36    5.0    5.43   1.48   1.00
## pre16_false_share         71 216    5.11    1.58    5.0    5.27   1.48   1.00
## prompt1*                  72 218    1.00    0.00    1.0    1.00   0.00   1.00
## prompt2*                  73 218    1.00    0.00    1.0    1.00   0.00   1.00
## prompt3*                  74 218    1.00    0.00    1.0    1.00   0.00   1.00
## prompt4*                  75 218    1.00    0.00    1.0    1.00   0.00   1.00
## prompt5*                  76 218    1.00    0.00    1.0    1.00   0.00   1.00
## prompt6*                  77 218    1.00    0.00    1.0    1.00   0.00   1.00
## prompt7*                  78 218    1.00    0.00    1.0    1.00   0.00   1.00
## prompt8*                  79 218    1.00    0.00    1.0    1.00   0.00   1.00
## prompt9*                  80 218    1.00    0.00    1.0    1.00   0.00   1.00
## prompt10*                 81 218    1.00    0.00    1.0    1.00   0.00   1.00
## prompt11*                 82 218    1.00    0.00    1.0    1.00   0.00   1.00
## prompt12*                 83 218    1.00    0.00    1.0    1.00   0.00   1.00
## prompt13*                 84 218    1.00    0.00    1.0    1.00   0.00   1.00
## prompt14*                 85 218    1.00    0.00    1.0    1.00   0.00   1.00
## prompt15                  86   0     NaN      NA     NA     NaN     NA    Inf
## depict                    87   0     NaN      NA     NA     NaN     NA    Inf
## decs1                     88 218    3.78    1.10    4.0    3.91   1.48   1.00
## decs2_r                   89 218    3.72    1.19    4.0    3.85   1.48   1.00
## decs3                     90 217    3.94    1.03    4.0    4.08   1.48   1.00
## decs4                     91 218    3.85    0.98    4.0    3.96   1.48   1.00
## decs5                     92 217    3.77    1.02    4.0    3.88   1.48   1.00
## decs6                     93 218    3.62    1.22    4.0    3.75   1.48   1.00
## decs7                     94 218    3.65    1.14    4.0    3.75   1.48   1.00
## decs8_r                   95 218    3.87    1.11    4.0    3.99   1.48   1.00
## decs9                     96 218    3.68    1.09    4.0    3.77   1.48   1.00
## decs10_r                  97 218    3.89    1.07    4.0    4.03   1.48   1.00
## decs11                    98 218    3.44    1.28    4.0    3.55   1.48   1.00
## decs12                    99 218    3.73    1.13    4.0    3.86   1.48   1.00
## cse1                     100 218    4.72    1.12    5.0    4.85   1.48   1.00
## cse2                     101 218    4.76    1.09    5.0    4.89   1.48   1.00
## cse3_r                   102 218    3.88    1.60    4.0    3.97   1.48   1.00
## cse4                     103 218    4.62    1.08    5.0    4.71   1.48   1.00
## cse5                     104 218    4.75    1.09    5.0    4.89   1.48   1.00
## cse6_r                   105 218    4.39    1.32    5.0    4.51   1.48   1.00
## mach1                    106 218    3.97    1.01    4.0    4.11   1.48   1.00
## mach2                    107 218    3.95    0.98    4.0    4.09   1.48   1.00
## mach3                    108 218    3.96    0.90    4.0    4.05   1.48   1.00
## mach4                    109 218    3.87    1.04    4.0    3.98   1.48   1.00
## mach5                    110 218    3.93    0.94    4.0    4.03   1.48   1.00
## mach6                    111 218    3.70    1.06    4.0    3.79   1.48   1.00
## mach7                    112 218    4.05    0.85    4.0    4.14   1.48   1.00
## narc1                    113 218    3.91    1.04    4.0    4.02   1.48   1.00
## narc2                    114 218    3.79    1.00    4.0    3.89   1.48   1.00
## narc3                    115 218    3.76    1.11    4.0    3.85   1.48   1.00
## narc4                    116 218    3.71    1.10    4.0    3.80   1.48   1.00
## narc5                    117 218    4.03    0.82    4.0    4.09   1.48   1.00
## narc6                    118 218    3.71    1.13    4.0    3.81   1.48   1.00
## narc7                    119 218    3.46    1.31    4.0    3.57   1.48   1.00
## psy1                     120 218    3.39    1.35    4.0    3.48   1.48   1.00
## psy2                     121 218    3.62    1.19    4.0    3.73   1.48   1.00
## psy3                     122 218    3.25    1.41    4.0    3.31   1.48   1.00
## psy4                     123 218    3.64    1.14    4.0    3.74   1.48   1.00
## psy5                     124 218    3.32    1.37    4.0    3.39   1.48   1.00
## psy6                     125 218    3.61    1.19    4.0    3.72   1.48   1.00
## psy7                     126 218    3.63    1.13    4.0    3.72   1.48   1.00
## sadism1                  127 218    3.55    1.23    4.0    3.68   1.48   1.00
## sadism2                  128 218    3.46    1.31    4.0    3.57   1.48   1.00
## sadism3                  129 218    3.51    1.23    4.0    3.61   1.48   1.00
## sadism4                  130 218    3.35    1.29    4.0    3.44   1.48   1.00
## sadism5                  131 218    3.56    1.23    4.0    3.68   1.48   1.00
## sadism6                  132 218    3.39    1.38    4.0    3.48   1.48   1.00
## sadism7                  133 218    3.65    1.16    4.0    3.76   1.48   1.00
## attention1               134 218    4.57    0.90    5.0    4.79   0.00   1.00
## pi1                      135 218    4.54    2.09    5.0    4.66   2.97   1.00
## pi2                      136 218    4.64    1.91    5.0    4.79   1.48   1.00
## pi3                      137 218    4.86    1.73    5.0    5.03   1.48   1.00
## pi4                      138 218    4.56    1.92    5.0    4.69   1.48   1.00
## pi5                      139 218    4.84    1.79    5.0    5.01   1.48   1.00
## pi6                      140 218    5.09    1.73    5.5    5.30   2.22   1.00
## pi7                      141 218    5.39    1.63    6.0    5.64   1.48   1.00
## pi8                      142 218    4.98    1.65    5.0    5.16   1.48   1.00
## pi9                      143 218    5.66    1.53    6.0    5.91   1.48   1.00
## pi10                     144 218    5.46    1.49    6.0    5.66   1.48   1.00
## pi11                     145 218    5.66    1.37    6.0    5.85   1.48   1.00
## pi_self                  146 218    4.82    1.42    5.0    4.89   1.48   1.00
## attention2               147 218  614.00    0.00  614.0  614.00   0.00 614.00
## post1_true_reliable      148 218    5.57    1.31    6.0    5.74   1.48   1.00
## post1_true_conf          149 218    5.67    1.25    6.0    5.83   1.48   1.00
## post1_true_share         150 217    5.53    1.36    6.0    5.71   1.48   1.00
## post2_true_reliable      151 216    5.37    1.25    5.0    5.47   1.48   1.00
## post2_true_conf          152 216    5.52    1.21    6.0    5.64   1.48   1.00
## post2_true_share         153 216    5.42    1.32    6.0    5.55   1.48   1.00
## post3_true_reliable      154 218    5.13    1.40    5.0    5.26   1.48   1.00
## post3_true_conf          155 218    5.32    1.30    5.0    5.43   1.48   1.00
## post3_true_share         156 217    5.19    1.53    6.0    5.37   1.48   1.00
## post4_true_reliable      157 218    5.11    1.43    5.0    5.24   1.48   1.00
## post4_true_conf          158 218    5.56    1.18    6.0    5.66   1.48   1.00
## post4_true_share         159 218    5.18    1.54    6.0    5.37   1.48   1.00
## post5_true_reliable      160 217    4.92    1.66    5.0    5.09   1.48   1.00
## post5_true_conf          161 217    5.35    1.34    6.0    5.45   1.48   1.00
## post5_true_share         162 217    5.15    1.66    5.0    5.37   1.48   1.00
## post6_true_reliable      163 217    5.00    1.46    5.0    5.15   1.48   1.00
## post6_true_conf          164 216    5.33    1.42    6.0    5.48   1.48   1.00
## post6_true_share         165 216    5.01    1.71    5.0    5.21   1.48   1.00
## post7_true_reliable      166 216    5.11    1.39    5.0    5.21   1.48   1.00
## post7_true_conf          167 216    5.34    1.27    6.0    5.45   1.48   1.00
## post7_true_share         168 214    5.10    1.49    5.0    5.26   1.48   1.00
## post8_true_reliable      169 218    5.70    1.20    6.0    5.84   1.48   1.00
## post8_true_conf          170 217    5.66    1.32    6.0    5.83   1.48   1.00
## post8_true_share         171 215    5.65    1.43    6.0    5.87   1.48   1.00
## post9_false_reliable     172 217    5.21    1.45    5.0    5.35   1.48   1.00
## post9_false_conf         173 217    5.48    1.21    6.0    5.59   1.48   1.00
## post9_false_share        174 214    5.20    1.54    5.0    5.38   1.48   1.00
## post10_false_reliable    175 218    5.11    1.66    5.0    5.31   1.48   1.00
## post10_false_conf        176 218    5.59    1.21    6.0    5.72   1.48   1.00
## post10_false_share       177 218    5.19    1.68    6.0    5.43   1.48   1.00
## post11_false_reliable    178 216    4.86    1.59    5.0    5.02   1.48   1.00
## post11_false_conf        179 216    5.34    1.34    6.0    5.49   1.48   1.00
## post11_false_share       180 216    5.13    1.70    6.0    5.37   1.48   1.00
## post12_false_reliable    181 218    4.96    1.45    5.0    5.10   1.48   1.00
## post12_false_conf        182 218    5.48    1.28    6.0    5.62   1.48   1.00
## post12_false_share       183 217    5.12    1.54    5.0    5.31   1.48   1.00
## post13_false_reliable    184 218    5.13    1.50    5.0    5.28   1.48   1.00
## post13_false_conf        185 217    5.41    1.42    6.0    5.58   1.48   1.00
## post13_false_share       186 217    5.18    1.61    5.0    5.37   1.48   1.00
## post14_false_reliable    187 217    4.64    1.87    5.0    4.79   1.48   1.00
## post14_false_conf        188 216    5.38    1.44    6.0    5.55   1.48   1.00
## post14_false_share       189 217    4.75    1.84    5.0    4.93   1.48   1.00
## post15_false_reliable    190 218    5.20    1.43    5.0    5.36   1.48   1.00
## post15_false_conf        191 218    5.52    1.29    6.0    5.65   1.48   1.00
## post15_false_share       192 215    5.24    1.53    6.0    5.39   1.48   1.00
## post16_false_reliable    193 215    5.14    1.51    5.0    5.31   1.48   1.00
## post16_false_conf        194 215    5.31    1.37    6.0    5.47   1.48   1.00
## post16_false_share       195 215    5.30    1.48    6.0    5.49   1.48   1.00
## age                      196 218   30.23    6.51   30.0   29.92   7.41  18.00
## gender                   197 218    1.40    0.49    1.0    1.38   0.00   1.00
## gender_text*             198 218    1.00    0.00    1.0    1.00   0.00   1.00
## edu                      199 218    4.42    1.04    4.0    4.48   0.00   1.00
## edu_text*                200 218    1.00    0.00    1.0    1.00   0.00   1.00
## employ                   201 218    2.15    0.73    2.0    2.14   0.00   1.00
## employ_text*             202 218    1.00    0.00    1.0    1.00   0.00   1.00
## marital                  203 218    2.28    0.98    3.0    2.32   0.00   1.00
## marital_text*            204 218    1.00    0.07    1.0    1.00   0.00   1.00
## religion                 205 218    3.81    1.26    4.0    3.83   0.00   1.00
## religion_text*           206 218    1.00    0.00    1.0    1.00   0.00   1.00
## ses                      207 218    6.06    2.08    6.0    5.99   1.48   2.00
## score                    208  34  698.47  126.08  702.5  710.93 103.78 194.00
## attention                209 218  646.04  298.36  744.0  685.16 156.41   1.00
## decep_total              210 218    6.95   12.34    2.0    3.86   0.00   1.00
## cse_total                211 218   38.54    7.66   40.0   39.24   7.41  16.00
## mach_total               212 218   24.29    3.65   24.0   24.24   2.97   7.00
## narc_total               213 218   27.34    4.84   28.0   27.59   4.45   7.00
## psych_total              214 218   25.76    6.26   26.0   26.16   6.67   7.00
## sadism_total             215 218   24.17    7.45   25.0   24.59   8.90   7.00
## pi_total                 216 218   29.52   11.87   28.0   28.16   8.90   7.00
## pi_cultural_total        217 218   50.85   18.74   54.0   52.22  16.31   5.00
## pi_obedience_total       218 218   25.25    8.00   27.0   25.82   7.41   5.00
## pi_selfreport            219 218   28.06   12.18   31.0   29.31   8.90   1.00
## Prompt.1*                220 218    5.17    2.23    6.0    5.34   1.48   1.00
## Prompt.2*                221 218    1.00    0.00    1.0    1.00   0.00   1.00
## Prompt.3*                222 218    1.00    0.00    1.0    1.00   0.00   1.00
## Prompt.4*                223 218    1.00    0.00    1.0    1.00   0.00   1.00
## Prompt.5*                224 218    1.00    0.00    1.0    1.00   0.00   1.00
## Prompt.6*                225 218    1.00    0.00    1.0    1.00   0.00   1.00
## Prompt.7*                226 218    1.00    0.00    1.0    1.00   0.00   1.00
## Prompt.8*                227 218    1.00    0.00    1.0    1.00   0.00   1.00
## Prompt.9*                228 218    1.00    0.00    1.0    1.00   0.00   1.00
## Prompt.10*               229 218    1.00    0.00    1.0    1.00   0.00   1.00
## Prompt.11*               230 218    1.00    0.00    1.0    1.00   0.00   1.00
## Prompt.12*               231 218    1.00    0.00    1.0    1.00   0.00   1.00
## Prompt.13*               232 218    1.00    0.00    1.0    1.00   0.00   1.00
## Prompt.14*               233 218    1.00    0.00    1.0    1.00   0.00   1.00
## Prompt.15*               234 218    1.00    0.00    1.0    1.00   0.00   1.00
## X.1*                     235 218    1.00    0.00    1.0    1.00   0.00   1.00
## condition*               236 218    1.00    0.00    1.0    1.00   0.00   1.00
## nationality_rev*         237 218    1.00    0.00    1.0    1.00   0.00   1.00
## nationality_rev2         238   0     NaN      NA     NA     NaN     NA    Inf
## gender_rev*              239 218    2.61    1.97    1.0    2.52   0.00   1.00
## edu_rev*                 240 218    3.36    1.70    2.0    3.26   0.00   1.00
## employ_rev*              241 218    2.56    1.81    1.0    2.41   0.00   1.00
## employ_combined*         242 218    1.20    0.40    1.0    1.13   0.00   1.00
## marital_rev*             243 218    2.73    0.99    2.0    2.68   0.00   1.00
## religion_rev*            244 218    3.81    1.27    4.0    3.83   0.00   1.00
## pre_true_reliable        245 211   41.70    7.97   42.0   41.90   8.90   8.00
## pre_true_conf            246 211   43.90    7.67   44.0   44.26   7.41   8.00
## pre_true_share           247 206   42.28    8.73   43.0   42.91   8.15   8.00
## pre_false_reliable       248 214   39.81    9.47   40.0   40.23   8.90   8.00
## pre_false_conf           249 210   43.40    7.77   44.0   43.73   7.41   8.00
## pre_false_share          250 205   40.75   10.22   42.0   41.64   8.90   8.00
## post_true_reliable       251 214   41.92    7.61   42.5   42.10   6.67   8.00
## post_true_conf           252 212   43.88    7.55   44.0   44.23   7.41   8.00
## post_true_share          253 208   42.21    8.93   44.0   42.90   7.41   8.00
## post_false_reliable      254 213   40.17    9.05   42.0   40.78   8.90   8.00
## post_false_conf          255 211   43.58    7.92   45.0   44.02   5.93   8.00
## post_false_share         256 207   40.98   10.23   43.0   41.92   8.90   8.00
## true_reliable            257 207   83.51   14.93   84.0   83.72  14.83  16.00
## true_conf                258 205   87.93   14.45   89.0   88.44  13.34  16.00
## true_share               259 198   84.52   17.08   87.0   85.82  14.83  16.00
## false_reliable           260 209   79.82   17.99   82.0   80.82  17.79  16.00
## false_conf               261 204   87.05   15.27   88.5   87.76  12.60  16.00
## false_share              262 197   81.98   19.85   86.0   83.69  16.31  16.00
##                             max    range  skew kurtosis     se
## X                         595.0   594.00  0.02    -1.21  11.61
## PID*                       -Inf     -Inf    NA       NA     NA
## Start.Date                 -Inf     -Inf    NA       NA     NA
## End.Date                   -Inf     -Inf    NA       NA     NA
## Response.Type               0.0     0.00   NaN      NaN   0.00
## IP.Address                 -Inf     -Inf    NA       NA     NA
## Progress                  100.0     0.00   NaN      NaN   0.00
## Duration..in.seconds.   33545.0 33425.00  9.79   114.68 173.26
## Finished                    1.0     0.00   NaN      NaN   0.00
## Recorded.Date              -Inf     -Inf    NA       NA     NA
## Response.ID                -Inf     -Inf    NA       NA     NA
## Recipient.Last.Name        -Inf     -Inf    NA       NA     NA
## Recipient.First.Name       -Inf     -Inf    NA       NA     NA
## Recipient.Email            -Inf     -Inf    NA       NA     NA
## External.Data.Reference    -Inf     -Inf    NA       NA     NA
## Location.Latitude          44.8    36.71 -0.56    -0.26   0.43
## Location.Longitude        121.0   100.54 -0.66    28.13   0.48
## Distribution.Channel       -Inf     -Inf    NA       NA     NA
## User.Language              -Inf     -Inf    NA       NA     NA
## Q_RecaptchaScore            1.0     0.80 -0.26    -1.00   0.03
## consent                     1.0     0.00   NaN      NaN   0.00
## nationality                 1.0     0.00   NaN      NaN   0.00
## nationality_text           -Inf     -Inf    NA       NA     NA
## pre1_true_reliable          7.0     6.00 -0.95     0.79   0.09
## pre1_true_conf              7.0     6.00 -1.06     1.21   0.09
## pre1_true_share             7.0     6.00 -1.07     0.84   0.09
## pre2_true_reliable          7.0     6.00 -0.89     0.52   0.10
## pre2_true_conf              7.0     6.00 -0.85     0.76   0.08
## pre2_true_share             7.0     6.00 -0.93     0.52   0.10
## pre3_true_reliable          7.0     6.00 -0.82     0.40   0.10
## pre3_true_conf              7.0     6.00 -0.71     0.57   0.09
## pre3_true_share             7.0     6.00 -0.80    -0.05   0.11
## pre4_true_reliable          7.0     6.00 -0.87     0.54   0.10
## pre4_true_conf              7.0     6.00 -1.10     1.70   0.09
## pre4_true_share             7.0     6.00 -1.06     0.86   0.10
## pre5_true_reliable          7.0     6.00 -1.00     0.59   0.11
## pre5_true_conf              7.0     6.00 -1.05     0.76   0.10
## pre5_true_share             7.0     6.00 -1.04     0.46   0.11
## pre6_true_reliable          7.0     6.00 -0.75     0.01   0.10
## pre6_true_conf              7.0     6.00 -0.98     0.55   0.10
## pre6_true_share             7.0     6.00 -0.95     0.16   0.11
## pre7_true_reliable          7.0     6.00 -0.70     0.03   0.10
## pre7_true_conf              7.0     6.00 -0.99     0.92   0.09
## pre7_true_share             7.0     6.00 -0.99     0.39   0.11
## pre8_true_reliable          7.0     6.00 -0.95     0.55   0.09
## pre8_true_conf              7.0     6.00 -1.16     1.39   0.09
## pre8_true_share             7.0     6.00 -1.17     1.11   0.09
## pre9_false_reliable         7.0     6.00 -0.84     0.49   0.10
## pre9_false_conf             7.0     6.00 -0.96     1.22   0.09
## pre9_false_share            7.0     6.00 -0.91     0.30   0.11
## pre10_false_reliable        7.0     6.00 -0.98     0.44   0.11
## pre10_false_conf            7.0     6.00 -0.89     0.94   0.08
## pre10_false_share           7.0     6.00 -1.09     0.65   0.11
## pre11_false_reliable        7.0     6.00 -0.83    -0.20   0.12
## pre11_false_conf            7.0     6.00 -1.04     0.85   0.10
## pre11_false_share           7.0     6.00 -0.81    -0.37   0.12
## pre12_false_reliable        7.0     6.00 -0.71     0.16   0.10
## pre12_false_conf            7.0     6.00 -0.97     0.68   0.09
## pre12_false_share           7.0     6.00 -0.93     0.24   0.11
## pre13_false_reliable        7.0     6.00 -0.91     0.40   0.11
## pre13_false_conf            7.0     6.00 -0.97     0.65   0.09
## pre13_false_share           7.0     6.00 -0.95     0.41   0.11
## pre14_false_reliable        7.0     6.00 -0.55    -0.83   0.13
## pre14_false_conf            7.0     6.00 -1.04     0.48   0.11
## pre14_false_share           7.0     6.00 -0.71    -0.74   0.14
## pre15_false_reliable        7.0     6.00 -0.72    -0.08   0.10
## pre15_false_conf            7.0     6.00 -0.78     0.31   0.09
## pre15_false_share           7.0     6.00 -0.81     0.02   0.11
## pre16_false_reliable        7.0     6.00 -0.72     0.04   0.10
## pre16_false_conf            7.0     6.00 -0.89     0.58   0.09
## pre16_false_share           7.0     6.00 -0.75    -0.02   0.11
## prompt1*                    1.0     0.00   NaN      NaN   0.00
## prompt2*                    1.0     0.00   NaN      NaN   0.00
## prompt3*                    1.0     0.00   NaN      NaN   0.00
## prompt4*                    1.0     0.00   NaN      NaN   0.00
## prompt5*                    1.0     0.00   NaN      NaN   0.00
## prompt6*                    1.0     0.00   NaN      NaN   0.00
## prompt7*                    1.0     0.00   NaN      NaN   0.00
## prompt8*                    1.0     0.00   NaN      NaN   0.00
## prompt9*                    1.0     0.00   NaN      NaN   0.00
## prompt10*                   1.0     0.00   NaN      NaN   0.00
## prompt11*                   1.0     0.00   NaN      NaN   0.00
## prompt12*                   1.0     0.00   NaN      NaN   0.00
## prompt13*                   1.0     0.00   NaN      NaN   0.00
## prompt14*                   1.0     0.00   NaN      NaN   0.00
## prompt15                   -Inf     -Inf    NA       NA     NA
## depict                     -Inf     -Inf    NA       NA     NA
## decs1                       5.0     4.00 -0.83     0.10   0.07
## decs2_r                     5.0     4.00 -0.68    -0.50   0.08
## decs3                       5.0     4.00 -0.86     0.14   0.07
## decs4                       5.0     4.00 -0.69    -0.01   0.07
## decs5                       5.0     4.00 -0.84     0.32   0.07
## decs6                       5.0     4.00 -0.70    -0.46   0.08
## decs7                       5.0     4.00 -0.61    -0.41   0.08
## decs8_r                     5.0     4.00 -0.78    -0.24   0.07
## decs9                       5.0     4.00 -0.61    -0.36   0.07
## decs10_r                    5.0     4.00 -0.81     0.02   0.07
## decs11                      5.0     4.00 -0.44    -0.91   0.09
## decs12                      5.0     4.00 -0.74    -0.17   0.08
## cse1                        6.0     5.00 -0.95     0.64   0.08
## cse2                        6.0     5.00 -0.95     0.62   0.07
## cse3_r                      6.0     5.00 -0.34    -1.10   0.11
## cse4                        6.0     5.00 -0.55    -0.03   0.07
## cse5                        6.0     5.00 -0.88     0.53   0.07
## cse6_r                      6.0     5.00 -0.64    -0.50   0.09
## mach1                       5.0     4.00 -1.14     1.18   0.07
## mach2                       5.0     4.00 -0.88     0.33   0.07
## mach3                       5.0     4.00 -0.86     0.80   0.06
## mach4                       5.0     4.00 -0.73    -0.24   0.07
## mach5                       5.0     4.00 -0.67    -0.08   0.06
## mach6                       5.0     4.00 -0.60    -0.32   0.07
## mach7                       5.0     4.00 -0.95     1.24   0.06
## narc1                       5.0     4.00 -0.75    -0.30   0.07
## narc2                       5.0     4.00 -0.50    -0.34   0.07
## narc3                       5.0     4.00 -0.55    -0.69   0.08
## narc4                       5.0     4.00 -0.56    -0.50   0.07
## narc5                       5.0     4.00 -0.65     0.27   0.06
## narc6                       5.0     4.00 -0.60    -0.46   0.08
## narc7                       5.0     4.00 -0.44    -0.96   0.09
## psy1                        5.0     4.00 -0.49    -1.02   0.09
## psy2                        5.0     4.00 -0.62    -0.52   0.08
## psy3                        5.0     4.00 -0.33    -1.22   0.10
## psy4                        5.0     4.00 -0.60    -0.44   0.08
## psy5                        5.0     4.00 -0.40    -1.11   0.09
## psy6                        5.0     4.00 -0.63    -0.49   0.08
## psy7                        5.0     4.00 -0.61    -0.41   0.08
## sadism1                     5.0     4.00 -0.74    -0.46   0.08
## sadism2                     5.0     4.00 -0.55    -0.85   0.09
## sadism3                     5.0     4.00 -0.52    -0.77   0.08
## sadism4                     5.0     4.00 -0.39    -0.97   0.09
## sadism5                     5.0     4.00 -0.62    -0.58   0.08
## sadism6                     5.0     4.00 -0.50    -1.00   0.09
## sadism7                     5.0     4.00 -0.72    -0.33   0.08
## attention1                  5.0     4.00 -2.23     4.43   0.06
## pi1                         7.0     6.00 -0.46    -1.16   0.14
## pi2                         7.0     6.00 -0.54    -0.83   0.13
## pi3                         7.0     6.00 -0.64    -0.36   0.12
## pi4                         7.0     6.00 -0.42    -0.92   0.13
## pi5                         7.0     6.00 -0.61    -0.57   0.12
## pi6                         7.0     6.00 -0.86    -0.13   0.12
## pi7                         7.0     6.00 -1.10     0.58   0.11
## pi8                         7.0     6.00 -0.73    -0.10   0.11
## pi9                         7.0     6.00 -1.31     1.29   0.10
## pi10                        7.0     6.00 -1.08     0.97   0.10
## pi11                        7.0     6.00 -1.23     1.63   0.09
## pi_self                     7.0     6.00 -0.38    -0.06   0.10
## attention2                614.0     0.00   NaN      NaN   0.00
## post1_true_reliable         7.0     6.00 -0.99     0.77   0.09
## post1_true_conf             7.0     6.00 -1.18     1.72   0.08
## post1_true_share            7.0     6.00 -1.03     0.88   0.09
## post2_true_reliable         7.0     6.00 -0.60     0.03   0.09
## post2_true_conf             7.0     6.00 -0.92     1.06   0.08
## post2_true_share            7.0     6.00 -0.86     0.73   0.09
## post3_true_reliable         7.0     6.00 -0.88     0.61   0.09
## post3_true_conf             7.0     6.00 -0.78     0.60   0.09
## post3_true_share            7.0     6.00 -0.91     0.30   0.10
## post4_true_reliable         7.0     6.00 -0.74     0.19   0.10
## post4_true_conf             7.0     6.00 -0.82     0.44   0.08
## post4_true_share            7.0     6.00 -0.95     0.41   0.10
## post5_true_reliable         7.0     6.00 -0.69    -0.26   0.11
## post5_true_conf             7.0     6.00 -0.73     0.26   0.09
## post5_true_share            7.0     6.00 -0.98     0.31   0.11
## post6_true_reliable         7.0     6.00 -0.90     0.61   0.10
## post6_true_conf             7.0     6.00 -0.85     0.16   0.10
## post6_true_share            7.0     6.00 -0.79    -0.15   0.12
## post7_true_reliable         7.0     6.00 -0.60     0.04   0.09
## post7_true_conf             7.0     6.00 -0.77     0.23   0.09
## post7_true_share            7.0     6.00 -0.83     0.51   0.10
## post8_true_reliable         7.0     6.00 -1.05     1.22   0.08
## post8_true_conf             7.0     6.00 -1.05     0.94   0.09
## post8_true_share            7.0     6.00 -1.21     1.05   0.10
## post9_false_reliable        7.0     6.00 -0.86     0.40   0.10
## post9_false_conf            7.0     6.00 -0.93     1.05   0.08
## post9_false_share           7.0     6.00 -0.96     0.57   0.11
## post10_false_reliable       7.0     6.00 -0.94     0.23   0.11
## post10_false_conf           7.0     6.00 -0.92     0.87   0.08
## post10_false_share          7.0     6.00 -1.02     0.40   0.11
## post11_false_reliable       7.0     6.00 -0.87     0.20   0.11
## post11_false_conf           7.0     6.00 -0.99     0.87   0.09
## post11_false_share          7.0     6.00 -1.04     0.31   0.12
## post12_false_reliable       7.0     6.00 -0.94     0.69   0.10
## post12_false_conf           7.0     6.00 -1.12     1.53   0.09
## post12_false_share          7.0     6.00 -0.96     0.51   0.10
## post13_false_reliable       7.0     6.00 -0.88     0.49   0.10
## post13_false_conf           7.0     6.00 -0.94     0.48   0.10
## post13_false_share          7.0     6.00 -0.84     0.05   0.11
## post14_false_reliable       7.0     6.00 -0.67    -0.61   0.13
## post14_false_conf           7.0     6.00 -0.97     0.80   0.10
## post14_false_share          7.0     6.00 -0.77    -0.46   0.13
## post15_false_reliable       7.0     6.00 -1.09     1.04   0.10
## post15_false_conf           7.0     6.00 -0.86     0.43   0.09
## post15_false_share          7.0     6.00 -0.79     0.02   0.10
## post16_false_reliable       7.0     6.00 -0.84     0.23   0.10
## post16_false_conf           7.0     6.00 -0.92     0.61   0.09
## post16_false_share          7.0     6.00 -1.00     0.56   0.10
## age                        51.0    33.00  0.51     0.12   0.44
## gender                      2.0     1.00  0.39    -1.86   0.03
## gender_text*                1.0     0.00   NaN      NaN   0.00
## edu                         6.0     5.00 -0.31     0.34   0.07
## edu_text*                   1.0     0.00   NaN      NaN   0.00
## employ                      4.0     3.00  0.34    -0.01   0.05
## employ_text*                1.0     0.00   NaN      NaN   0.00
## marital                     5.0     4.00 -0.42    -1.47   0.07
## marital_text*               2.0     1.00 14.56   211.03   0.00
## religion                   10.0     9.00  0.83     5.72   0.09
## religion_text*              1.0     0.00   NaN      NaN   0.00
## ses                        10.0     8.00  0.18    -0.74   0.14
## score                     877.0   683.00 -1.72     5.11  21.62
## attention                 994.0   993.00 -1.36     0.59  20.21
## decep_total                47.0    46.00  2.03     2.36   0.84
## cse_total                  50.0    34.00 -0.69    -0.35   0.52
## mach_total                 36.0    29.00 -0.22     2.18   0.25
## narc_total                 35.0    28.00 -0.66     0.82   0.33
## psych_total                35.0    28.00 -0.54    -0.19   0.42
## sadism_total               35.0    28.00 -0.40    -0.80   0.50
## pi_total                   77.0    70.00  1.27     2.22   0.80
## pi_cultural_total          77.0    72.00 -0.63    -0.46   1.27
## pi_obedience_total         42.0    37.00 -0.53    -0.16   0.54
## pi_selfreport              42.0    41.00 -1.01    -0.20   0.82
## Prompt.1*                   8.0     7.00 -0.73    -0.55   0.15
## Prompt.2*                   1.0     0.00   NaN      NaN   0.00
## Prompt.3*                   1.0     0.00   NaN      NaN   0.00
## Prompt.4*                   1.0     0.00   NaN      NaN   0.00
## Prompt.5*                   1.0     0.00   NaN      NaN   0.00
## Prompt.6*                   1.0     0.00   NaN      NaN   0.00
## Prompt.7*                   1.0     0.00   NaN      NaN   0.00
## Prompt.8*                   1.0     0.00   NaN      NaN   0.00
## Prompt.9*                   1.0     0.00   NaN      NaN   0.00
## Prompt.10*                  1.0     0.00   NaN      NaN   0.00
## Prompt.11*                  1.0     0.00   NaN      NaN   0.00
## Prompt.12*                  1.0     0.00   NaN      NaN   0.00
## Prompt.13*                  1.0     0.00   NaN      NaN   0.00
## Prompt.14*                  1.0     0.00   NaN      NaN   0.00
## Prompt.15*                  1.0     0.00   NaN      NaN   0.00
## X.1*                        1.0     0.00   NaN      NaN   0.00
## condition*                  1.0     0.00   NaN      NaN   0.00
## nationality_rev*            1.0     0.00   NaN      NaN   0.00
## nationality_rev2           -Inf     -Inf    NA       NA     NA
## gender_rev*                 5.0     4.00  0.39    -1.86   0.13
## edu_rev*                    6.0     5.00  0.51    -1.34   0.11
## employ_rev*                 6.0     5.00  0.42    -1.58   0.12
## employ_combined*            2.0     1.00  1.48     0.18   0.03
## marital_rev*                5.0     4.00  0.50    -1.59   0.07
## religion_rev*              10.0     9.00  0.88     6.00   0.09
## pre_true_reliable          56.0    48.00 -0.50     0.87   0.55
## pre_true_conf              56.0    48.00 -0.81     1.82   0.53
## pre_true_share             56.0    48.00 -0.76     0.72   0.61
## pre_false_reliable         56.0    48.00 -0.50     0.17   0.65
## pre_false_conf             56.0    48.00 -0.73     1.43   0.54
## pre_false_share            56.0    48.00 -0.82     0.43   0.71
## post_true_reliable         56.0    48.00 -0.49     1.07   0.52
## post_true_conf             56.0    48.00 -0.74     1.64   0.52
## post_true_share            56.0    48.00 -0.80     0.67   0.62
## post_false_reliable        56.0    48.00 -0.74     0.62   0.62
## post_false_conf            56.0    48.00 -0.90     1.70   0.55
## post_false_share           56.0    48.00 -0.88     0.55   0.71
## true_reliable             112.0    96.00 -0.48     1.31   1.04
## true_conf                 112.0    96.00 -0.78     2.34   1.01
## true_share                112.0    96.00 -0.83     0.95   1.21
## false_reliable            112.0    96.00 -0.65     0.58   1.24
## false_conf                112.0    96.00 -0.80     1.76   1.07
## false_share               112.0    96.00 -0.86     0.61   1.41</code></pre>
<p>#H1a-c: On the pre-test for true headlines, there will be no
difference in ratings of reliability (H1a), sharing intention (H1b), and
confidence in judgment (H1c) between the misinformation, depict, and
control conditions for true headlines.</p>
<pre class="r"><code>preanova1&lt;- aov(pre_true_reliable~condition, data = crmisf)
tukey_preanova1 &lt;- TukeyHSD(preanova1)
preanova2&lt;- aov(pre_true_conf~condition, data = crmisf)
tukey_preanova2 &lt;- TukeyHSD(preanova2)
preanova3&lt;- aov(crmisf$pre_true_share~crmisf$condition, data = crmisf)
tukey_preanova3 &lt;- TukeyHSD(preanova3)

summary(preanova1)</code></pre>
<pre><code>##              Df Sum Sq Mean Sq F value Pr(&gt;F)
## condition     2    191   95.41   1.664   0.19
## Residuals   624  35775   57.33               
## 11 observations deleted due to missingness</code></pre>
<pre class="r"><code>print(tukey_preanova1)</code></pre>
<pre><code>##   Tukey multiple comparisons of means
##     95% family-wise confidence level
## 
## Fit: aov(formula = pre_true_reliable ~ condition, data = crmisf)
## 
## $condition
##                       diff        lwr      upr     p adj
## depict-control  -0.1941184 -1.9611501 1.572913 0.9639502
## misinfo-control  1.0499239 -0.6622362 2.762084 0.3206874
## misinfo-depict   1.2440422 -0.5036827 2.991767 0.2167013</code></pre>
<pre class="r"><code>summary(preanova2)</code></pre>
<pre><code>##              Df Sum Sq Mean Sq F value Pr(&gt;F)
## condition     2      3    1.66   0.031   0.97
## Residuals   619  33526   54.16               
## 16 observations deleted due to missingness</code></pre>
<pre class="r"><code>print(tukey_preanova2)</code></pre>
<pre><code>##   Tukey multiple comparisons of means
##     95% family-wise confidence level
## 
## Fit: aov(formula = pre_true_conf ~ condition, data = crmisf)
## 
## $condition
##                        diff       lwr      upr     p adj
## depict-control  -0.17130727 -1.895778 1.553163 0.9704215
## misinfo-control -0.13335065 -1.801235 1.534534 0.9807378
## misinfo-depict   0.03795662 -1.671442 1.747355 0.9985008</code></pre>
<pre class="r"><code>summary(preanova3)</code></pre>
<pre><code>##                   Df Sum Sq Mean Sq F value Pr(&gt;F)  
## crmisf$condition   2    586  292.93   3.707 0.0251 *
## Residuals        603  47654   79.03                 
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 32 observations deleted due to missingness</code></pre>
<pre class="r"><code>print(tukey_preanova3)</code></pre>
<pre><code>##   Tukey multiple comparisons of means
##     95% family-wise confidence level
## 
## Fit: aov(formula = crmisf$pre_true_share ~ crmisf$condition, data = crmisf)
## 
## $`crmisf$condition`
##                       diff        lwr       upr     p adj
## depict-control  -1.9986242 -4.1082746 0.1110263 0.0676888
## misinfo-control  0.2350381 -1.8060054 2.2760815 0.9604534
## misinfo-depict   2.2336622  0.1405716 4.3267529 0.0332180</code></pre>
<p>#Plots</p>
<pre class="r"><code># Calculate means and standard errors for each variable by condition
summary_data &lt;- crmisf %&gt;%
  group_by(condition) %&gt;%
  summarize(
    mean_reliable = mean(pre_true_reliable, na.rm = TRUE),
    se_reliable = sd(pre_true_reliable, na.rm = TRUE) / sqrt(n()),
    mean_share = mean(pre_true_share, na.rm = TRUE),
    se_share = sd(pre_true_share, na.rm = TRUE) / sqrt(n()),
    mean_conf = mean(pre_true_conf, na.rm = TRUE),
    se_conf = sd(pre_true_conf, na.rm = TRUE) / sqrt(n())
  )

# Plot for pre_true_reliable (no significance)
ggplot(summary_data, aes(x = condition, y = mean_reliable)) +
  geom_bar(stat = &quot;identity&quot;, fill = &quot;skyblue&quot;) +
  geom_errorbar(aes(ymin = mean_reliable - se_reliable, ymax = mean_reliable + se_reliable), width = 0.2) +
  labs(title = &quot;Mean of pre_true_reliable by Condition&quot;, 
       y = &quot;Mean pre_true_reliable&quot;, 
       x = &quot;Condition&quot;) +
  theme_minimal()</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code># Plot for pre_true_share with significance line and star
ggplot(summary_data, aes(x = condition, y = mean_share)) +
  geom_bar(stat = &quot;identity&quot;, fill = &quot;lightgreen&quot;) +
  geom_errorbar(aes(ymin = mean_share - se_share, ymax = mean_share + se_share), width = 0.2) +
  
  # Add a line between misinfo and depict bars
  geom_segment(aes(x = 2, xend = 3, y = max(summary_data$mean_share + summary_data$se_share) + 0.5, 
                   yend = max(summary_data$mean_share + summary_data$se_share) + 0.5)) +
  
  # Add significance star above the line
  annotate(&quot;text&quot;, x = 2.5, y = max(summary_data$mean_share + summary_data$se_share) + 0.7, 
           label = &quot;*&quot;, size = 6) +
  
  labs(title = &quot;Mean of pre_true_share by Condition&quot;, 
       y = &quot;Mean pre_true_share&quot;, 
       x = &quot;Condition&quot;) +
  theme_minimal()</code></pre>
<pre><code>## Warning: Use of `summary_data$mean_share` is discouraged.
## ℹ Use `mean_share` instead.</code></pre>
<pre><code>## Warning: Use of `summary_data$se_share` is discouraged.
## ℹ Use `se_share` instead.</code></pre>
<pre><code>## Warning: Use of `summary_data$mean_share` is discouraged.
## ℹ Use `mean_share` instead.</code></pre>
<pre><code>## Warning: Use of `summary_data$se_share` is discouraged.
## ℹ Use `se_share` instead.</code></pre>
<pre><code>## Warning in geom_segment(aes(x = 2, xend = 3, y = max(summary_data$mean_share + : All aesthetics have length 1, but the data has 3 rows.
## ℹ Please consider using `annotate()` or provide this layer with data containing
##   a single row.</code></pre>
<p><img role="img" 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" width="672" /></p>
<pre class="r"><code># Plot for pre_true_conf (no significance)
ggplot(summary_data, aes(x = condition, y = mean_conf)) +
  geom_bar(stat = &quot;identity&quot;, fill = &quot;lightcoral&quot;) +
  geom_errorbar(aes(ymin = mean_conf - se_conf, ymax = mean_conf + se_conf), width = 0.2) +
  labs(title = &quot;Mean of pre_true_conf by Condition&quot;, 
       y = &quot;Mean pre_true_conf&quot;, 
       x = &quot;Condition&quot;) +
  theme_minimal()</code></pre>
<p><img role="img" 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" width="672" /></p>
<pre class="r"><code># Reshape data into long format for easier plotting
long_data_pre &lt;- summary_data %&gt;%
  pivot_longer(cols = starts_with(&quot;mean&quot;), names_to = &quot;variable&quot;, values_to = &quot;mean&quot;) %&gt;%
  mutate(
    se = case_when(
      variable == &quot;mean_reliable&quot; ~ se_reliable,
      variable == &quot;mean_share&quot; ~ se_share,
      variable == &quot;mean_conf&quot; ~ se_conf
    ),
    variable = factor(variable, levels = c(&quot;mean_reliable&quot;, &quot;mean_share&quot;, &quot;mean_conf&quot;),
                      labels = c(&quot;Reliability&quot;, &quot;Sharing Intention&quot;, &quot;Confidence&quot;))
  )

# Create significance data frame (Only Sharing Intention Significant at 2,3)
sig_data_pre &lt;- tibble::tibble(
  variable = factor(&quot;Sharing Intention&quot;, 
                    levels = c(&quot;Reliability&quot;, &quot;Sharing Intention&quot;, &quot;Confidence&quot;)),
  x = c(2),         # Start x position
  xend = c(3),      # End x position
  y = c(44),        # Lower the line (closer to bars)
  y_text = c(46),   # Y position of asterisk
  label = c(&quot;*&quot;)    # Asterisk label
)

# Facet plot for Pre-test Mean Scores (False Headlines)
ggplot(long_data_pre, aes(x = condition, y = mean)) +
  geom_bar(stat = &quot;identity&quot;, fill = &quot;skyblue&quot;, position = &quot;dodge&quot;) +
  geom_errorbar(aes(ymin = mean - se, ymax = mean + se), width = 0.2) +
  facet_wrap(~ variable, scales = &quot;free_y&quot;) +
  scale_y_continuous(limits = c(0, 100)) +  # Set y-axis limits from 0 to 100

  # Add significance line (Only for Sharing Intention, 2 -&gt; 3)
  geom_segment(data = sig_data_pre, aes(x = x, xend = xend, y = y, yend = y), inherit.aes = FALSE) +
  geom_text(data = sig_data_pre, aes(x = (x + xend) / 2, y = y_text, label = label), size = 6) +

  labs(title = &quot;Pre-test Mean Scores by Condition for True Headlines&quot;, 
       y = &quot;Mean (with SE)&quot;, 
       x = &quot;Condition&quot;) +
  theme_minimal() +
  theme(legend.position = &quot;none&quot;)</code></pre>
<p><img role="img" 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" width="672" /></p>
<pre class="r"><code>library(tidyverse)
library(ggplot2)

# Assuming &#39;crmisf&#39; contains the raw data with columns:
# &#39;condition&#39;, &#39;pre_reliable&#39;, &#39;pre_share&#39;, &#39;pre_conf&#39;

# ----------------------------------------------------------------------
# 1. PREPARE THE RAW DATA FOR PLOTTING
# ----------------------------------------------------------------------

raw_data_long_pre &lt;- crmisf %&gt;%
  # Select the condition and the three pre-test variables
  select(condition, pre_true_reliable, pre_true_share, pre_true_conf) %&gt;%
  # Reshape from wide to long format
  pivot_longer(
    cols = starts_with(&quot;pre_&quot;),
    names_to = &quot;variable&quot;,
    values_to = &quot;score&quot;
  ) %&gt;%
  # Create a factor for variable labels (for plotting order and names)
  mutate(
    variable_label = factor(variable,
                            levels = c(&quot;pre_true_reliable&quot;, &quot;pre_true_share&quot;, &quot;pre_true_conf&quot;),
                            labels = c(&quot;Reliability&quot;, &quot;Sharing Intention&quot;, &quot;Confidence&quot;))
  )

# ----------------------------------------------------------------------
# 2. CREATE THE FACETED VIOLIN PLOT with JITTERED POINTS
# ----------------------------------------------------------------------

ggplot(raw_data_long_pre, aes(x = condition, y = score, fill = condition)) +

  # 1. Add the Violin Plot (density)
  geom_violin(trim = TRUE, alpha = 0.6) +

  # 2. Add Jittered Points (Raw Data)
  # Scatter points horizontally to show individual data points.
  geom_point(
    aes(color = condition), # Color points by condition
    position = position_jitter(width = 0.15, seed = 42),
    alpha = 0.2, # Transparency
    size = 1.5,
    show.legend = FALSE
  ) +

  # 3. Add the Box Plot inside (median and quartiles)
  geom_boxplot(
    width = 0.1,
    outlier.shape = NA, # Prevents plotting the outliers twice
    fill = &quot;white&quot;,
    alpha = 0.5
  ) +

  # 4. Facet by the variable
  facet_wrap(~ variable_label, scales = &quot;free_y&quot;) +

  # --- SIGNIFICANCE MARKERS REMOVED ---

  # 5. Set Y-axis scale (Using 0-100 limit from your original code)
  scale_y_continuous(limits = c(0, 56)) +

  # 6. Labels and Theme
  labs(
    title = &quot;Pre-test Score Distributions by Condition for True Headlines&quot;,
    y = &quot;Score&quot;,
    x = &quot;Condition&quot;
  ) +
  theme_minimal() +
  theme(
    legend.position = &quot;none&quot;,
    plot.title = element_text(hjust = 0.5),
    strip.text = element_text(face = &quot;bold&quot;)
  )</code></pre>
<pre><code>## Warning: Removed 59 rows containing non-finite outside the scale range
## (`stat_ydensity()`).</code></pre>
<pre><code>## Warning: Removed 59 rows containing non-finite outside the scale range
## (`stat_boxplot()`).</code></pre>
<pre><code>## Warning: Removed 110 rows containing missing values or values outside the scale range
## (`geom_point()`).</code></pre>
<p><img role="img" 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" width="672" />
#H1d-f: On the pre-test for false headlines, there will be no difference
in ratings of reliability (H1d), sharing intention (H1e), and confidence
in judgment (H1f) between the misinformation, depict, and control
conditions.</p>
<pre class="r"><code>preanova4&lt;- aov(pre_false_reliable~condition, data = crmisf)
tukey_preanova4 &lt;- TukeyHSD(preanova4)
preanova5&lt;- aov(pre_false_conf~condition, data = crmisf)
tukey_preanova5 &lt;- TukeyHSD(preanova5)
preanova6&lt;- aov(pre_false_share~condition, data = crmisf)
tukey_preanova6 &lt;- TukeyHSD(preanova6)

summary(preanova4)</code></pre>
<pre><code>##              Df Sum Sq Mean Sq F value Pr(&gt;F)  
## condition     2    732   366.1   4.344 0.0134 *
## Residuals   620  52258    84.3                 
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 15 observations deleted due to missingness</code></pre>
<pre class="r"><code>print(tukey_preanova4)</code></pre>
<pre><code>##   Tukey multiple comparisons of means
##     95% family-wise confidence level
## 
## Fit: aov(formula = pre_false_reliable ~ condition, data = crmisf)
## 
## $condition
##                      diff        lwr       upr     p adj
## depict-control  -1.234727 -3.3847195 0.9152655 0.3685231
## misinfo-control  1.438164 -0.6350538 3.5113820 0.2338742
## misinfo-depict   2.672891  0.5344725 4.8113098 0.0096274</code></pre>
<pre class="r"><code>summary(preanova5)</code></pre>
<pre><code>##              Df Sum Sq Mean Sq F value Pr(&gt;F)
## condition     2     32   16.15   0.286  0.752
## Residuals   609  34406   56.50               
## 26 observations deleted due to missingness</code></pre>
<pre class="r"><code>print(tukey_preanova5)</code></pre>
<pre><code>##   Tukey multiple comparisons of means
##     95% family-wise confidence level
## 
## Fit: aov(formula = pre_false_conf ~ condition, data = crmisf)
## 
## $condition
##                       diff       lwr      upr     p adj
## depict-control   0.1406926 -1.634886 1.916272 0.9810757
## misinfo-control -0.4001107 -2.113440 1.313218 0.8472012
## misinfo-depict  -0.5408034 -2.306631 1.225024 0.7520115</code></pre>
<pre class="r"><code>summary(preanova6)</code></pre>
<pre><code>##              Df Sum Sq Mean Sq F value  Pr(&gt;F)   
## condition     2   1064   532.0    5.05 0.00668 **
## Residuals   601  63308   105.3                   
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 34 observations deleted due to missingness</code></pre>
<pre class="r"><code>print(tukey_preanova6)</code></pre>
<pre><code>##   Tukey multiple comparisons of means
##     95% family-wise confidence level
## 
## Fit: aov(formula = pre_false_share ~ condition, data = crmisf)
## 
## $condition
##                       diff        lwr      upr     p adj
## depict-control  -2.3850993 -4.8374776 0.067279 0.0586654
## misinfo-control  0.7997064 -1.5516113 3.151024 0.7037176
## misinfo-depict   3.1848057  0.7620585 5.607553 0.0059553</code></pre>
<pre class="r"><code># Calculate means and standard errors for each variable by condition
summary_data_false &lt;- crmisf %&gt;%
  group_by(condition) %&gt;%
  summarize(
    mean_reliable = mean(pre_false_reliable, na.rm = TRUE),
    se_reliable = sd(pre_false_reliable, na.rm = TRUE) / sqrt(n()),
    mean_share = mean(pre_false_share, na.rm = TRUE),
    se_share = sd(pre_false_share, na.rm = TRUE) / sqrt(n()),
    mean_conf = mean(pre_false_conf, na.rm = TRUE),
    se_conf = sd(pre_false_conf, na.rm = TRUE) / sqrt(n())
  )

# Plot for pre_false_reliable
ggplot(summary_data_false, aes(x = condition, y = mean_reliable)) +
  geom_bar(stat = &quot;identity&quot;, fill = &quot;skyblue&quot;) +
  geom_errorbar(aes(ymin = mean_reliable - se_reliable, ymax = mean_reliable + se_reliable), width = 0.2) +
  
  # Add a line between misinfo and depict bars (significant difference)
  geom_segment(aes(x = 2, xend = 3, y = max(summary_data_false$mean_reliable + summary_data_false$se_reliable) + 0.5, 
                   yend = max(summary_data_false$mean_reliable + summary_data_false$se_reliable) + 0.5)) +
  
  # Add significance star above the line
  annotate(&quot;text&quot;, x = 2.5, y = max(summary_data_false$mean_reliable + summary_data_false$se_reliable) + 0.7, 
           label = &quot;*&quot;, size = 6) +
  
  labs(title = &quot;Mean of pre_false_reliable by Condition&quot;, 
       y = &quot;Mean pre_false_reliable&quot;, 
       x = &quot;Condition&quot;) +
  scale_y_continuous(limits = c(0, 100)) +  # Set y-axis to range from 0 to 100
  theme_minimal()</code></pre>
<pre><code>## Warning: Use of `summary_data_false$mean_reliable` is discouraged.
## ℹ Use `mean_reliable` instead.</code></pre>
<pre><code>## Warning: Use of `summary_data_false$se_reliable` is discouraged.
## ℹ Use `se_reliable` instead.</code></pre>
<pre><code>## Warning: Use of `summary_data_false$mean_reliable` is discouraged.
## ℹ Use `mean_reliable` instead.</code></pre>
<pre><code>## Warning: Use of `summary_data_false$se_reliable` is discouraged.
## ℹ Use `se_reliable` instead.</code></pre>
<pre><code>## Warning in geom_segment(aes(x = 2, xend = 3, y = max(summary_data_false$mean_reliable + : All aesthetics have length 1, but the data has 3 rows.
## ℹ Please consider using `annotate()` or provide this layer with data containing
##   a single row.</code></pre>
<p><img role="img" 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" width="672" /></p>
<pre class="r"><code># Plot for pre_false_share
ggplot(summary_data_false, aes(x = condition, y = mean_share)) +
  geom_bar(stat = &quot;identity&quot;, fill = &quot;lightgreen&quot;) +
  geom_errorbar(aes(ymin = mean_share - se_share, ymax = mean_share + se_share), width = 0.2) +
  
  # Add a line between misinfo and depict bars (significant difference)
  geom_segment(aes(x = 2, xend = 3, y = max(summary_data_false$mean_share + summary_data_false$se_share) + 0.5, 
                   yend = max(summary_data_false$mean_share + summary_data_false$se_share) + 0.5)) +
  
  # Add significance star above the line
  annotate(&quot;text&quot;, x = 2.5, y = max(summary_data_false$mean_share + summary_data_false$se_share) + 0.7, 
           label = &quot;*&quot;, size = 6) +
  
  labs(title = &quot;Mean of pre_false_share by Condition&quot;, 
       y = &quot;Mean pre_false_share&quot;, 
       x = &quot;Condition&quot;) +
  scale_y_continuous(limits = c(0, 100)) +  # Set y-axis to range from 0 to 100
  theme_minimal()</code></pre>
<pre><code>## Warning: Use of `summary_data_false$mean_share` is discouraged.
## ℹ Use `mean_share` instead.</code></pre>
<pre><code>## Warning: Use of `summary_data_false$se_share` is discouraged.
## ℹ Use `se_share` instead.</code></pre>
<pre><code>## Warning: Use of `summary_data_false$mean_share` is discouraged.
## ℹ Use `mean_share` instead.</code></pre>
<pre><code>## Warning: Use of `summary_data_false$se_share` is discouraged.
## ℹ Use `se_share` instead.</code></pre>
<pre><code>## Warning in geom_segment(aes(x = 2, xend = 3, y = max(summary_data_false$mean_share + : All aesthetics have length 1, but the data has 3 rows.
## ℹ Please consider using `annotate()` or provide this layer with data containing
##   a single row.</code></pre>
<p><img role="img" 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" width="672" /></p>
<pre class="r"><code># Plot for pre_false_conf (no significance)
ggplot(summary_data_false, aes(x = condition, y = mean_conf)) +
  geom_bar(stat = &quot;identity&quot;, fill = &quot;lightcoral&quot;) +
  geom_errorbar(aes(ymin = mean_conf - se_conf, ymax = mean_conf + se_conf), width = 0.2) +
  labs(title = &quot;Mean of pre_false_conf by Condition&quot;, 
       y = &quot;Mean pre_false_conf&quot;, 
       x = &quot;Condition&quot;) +
  scale_y_continuous(limits = c(0, 100)) +  # Set y-axis to range from 0 to 100
  theme_minimal()</code></pre>
<p><img role="img" 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" width="672" /></p>
<pre class="r"><code># Reshape data into long format
long_data_pre2 &lt;- summary_data_false %&gt;%
  pivot_longer(cols = starts_with(&quot;mean&quot;), names_to = &quot;variable&quot;, values_to = &quot;mean&quot;) %&gt;%
  mutate(
    se = case_when(
      variable == &quot;mean_reliable&quot; ~ se_reliable,
      variable == &quot;mean_share&quot; ~ se_share,
      variable == &quot;mean_conf&quot; ~ se_conf
    ),
    variable = factor(variable, levels = c(&quot;mean_reliable&quot;, &quot;mean_share&quot;, &quot;mean_conf&quot;),
                      labels = c(&quot;Reliability&quot;, &quot;Sharing Intention&quot;, &quot;Confidence&quot;))
  )
# Create significance data frame for True Headlines
sig_data_pre2 &lt;- tibble::tibble(
  variable = factor(c(&quot;Reliability&quot;, &quot;Sharing Intention&quot;),
                    levels = c(&quot;Reliability&quot;, &quot;Sharing Intention&quot;, &quot;Confidence&quot;)),
  x = c(2, 2),         # Start x positions (only for Reliability &amp; Sharing Intention)
  xend = c(3, 3),      # End x positions
  y = c(44, 44),       # Lower the lines (closer to bars)
  y_text = c(46, 46),  # Y positions of asterisks
  label = c(&quot;*&quot;, &quot;*&quot;)  # Asterisk labels
)

# Facet plot for all variables (True Headlines)
ggplot(long_data_pre2, aes(x = condition, y = mean)) +
  geom_bar(stat = &quot;identity&quot;, fill = &quot;lightgreen&quot;, position = &quot;dodge&quot;) +
  geom_errorbar(aes(ymin = mean - se, ymax = mean + se), width = 0.2) +
  facet_wrap(~ variable, scales = &quot;free_y&quot;) +
  scale_y_continuous(limits = c(0, 100)) +    # Set y-axis limits from 0 to 100

  # Add significance lines for Reliability &amp; Sharing Intention (2,3 positions)
  geom_segment(data = sig_data_pre2, aes(x = x, xend = xend, y = y, yend = y), inherit.aes = FALSE) +
  geom_text(data = sig_data_pre2, aes(x = (x + xend) / 2, y = y_text, label = label), size = 6) +

  labs(title = &quot;Pre-test Mean Scores by Condition for False Headlines&quot;, 
       y = &quot;Mean (with SE)&quot;, 
       x = &quot;Condition&quot;) +
  theme_minimal() +
  theme(legend.position = &quot;none&quot;)</code></pre>
<p><img role="img" 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" width="672" /></p>
<pre class="r"><code>library(tidyverse)
library(ggplot2)

# Assuming &#39;crmisf&#39; contains the raw data with columns:
# &#39;condition&#39;, &#39;pre_false_reliable&#39;, &#39;pre_false_share&#39;, &#39;pre_false_conf&#39;

# ----------------------------------------------------------------------
# 1. PREPARE THE RAW DATA FOR PLOTTING
# ----------------------------------------------------------------------

raw_data_long_pre2 &lt;- crmisf %&gt;%
  # Select the condition and the three pre-false variables
  select(condition, pre_false_reliable, pre_false_share, pre_false_conf) %&gt;%
  # Reshape from wide to long format
  pivot_longer(
    cols = starts_with(&quot;pre_false&quot;),
    names_to = &quot;variable&quot;,
    values_to = &quot;score&quot;
  ) %&gt;%
  # Create a factor for variable labels (for plotting order and names)
  mutate(
    variable_label = factor(variable,
                            levels = c(&quot;pre_false_reliable&quot;, &quot;pre_false_share&quot;, &quot;pre_false_conf&quot;),
                            labels = c(&quot;Reliability&quot;, &quot;Sharing Intention&quot;, &quot;Confidence&quot;))
  )

# ----------------------------------------------------------------------
# 2. CREATE THE FACETED VIOLIN PLOT with JITTERED POINTS
# ----------------------------------------------------------------------

ggplot(raw_data_long_pre2, aes(x = condition, y = score, fill = condition)) +

  # 1. Add the Violin Plot (density)
  geom_violin(trim = TRUE, alpha = 0.6) +

  # 2. Add Jittered Points (Raw Data)
  # Scatter points horizontally to show individual data points.
  geom_point(
    aes(color = condition), # Color points by condition
    position = position_jitter(width = 0.15, seed = 42),
    alpha = 0.2, # Transparency
    size = 1.5,
    show.legend = FALSE
  ) +

  # 3. Add the Box Plot inside (median and quartiles)
  geom_boxplot(
    width = 0.1,
    outlier.shape = NA, # Prevents plotting the outliers twice
    fill = &quot;white&quot;,
    alpha = 0.5
  ) +

  # 4. Facet by the variable
  facet_wrap(~ variable_label, scales = &quot;free_y&quot;) +

  # --- SIGNIFICANCE MARKERS REMOVED ---

  # 5. Set Y-axis scale (Retaining 0-100 limit from original code)
  scale_y_continuous(limits = c(0, 56)) +

  # 6. Labels and Theme
  labs(
    title = &quot;Pre-test Score Distributions by Condition for False Headlines&quot;,
    y = &quot;Score&quot;,
    x = &quot;Condition&quot;
  ) +
  theme_minimal() +
  theme(
    legend.position = &quot;none&quot;,
    plot.title = element_text(hjust = 0.5),
    strip.text = element_text(face = &quot;bold&quot;)
  )</code></pre>
<pre><code>## Warning: Removed 75 rows containing non-finite outside the scale range
## (`stat_ydensity()`).</code></pre>
<pre><code>## Warning: Removed 75 rows containing non-finite outside the scale range
## (`stat_boxplot()`).</code></pre>
<pre><code>## Warning: Removed 115 rows containing missing values or values outside the scale range
## (`geom_point()`).</code></pre>
<p><img role="img" 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" width="672" /></p>
<p>#H2a-c: On the post-test for true headlines, there will be an
increase in ratings of reliability (H2a), sharing intention (H2b), and
confidence in judgement (H2c) for the misinformation condition, as
compared to the depict and control conditions.</p>
<pre class="r"><code>postanova1&lt;- aov(post_true_reliable~condition, data = crmisf)
tukey_postanova1 &lt;- TukeyHSD(postanova1)
postanova2&lt;- aov(post_true_conf~condition, data = crmisf)
tukey_postanova2 &lt;- TukeyHSD(postanova2)
postanova3&lt;- aov(post_true_share~condition, data = crmisf)
tukey_postanova3 &lt;- TukeyHSD(postanova3)

summary(postanova1)</code></pre>
<pre><code>##              Df Sum Sq Mean Sq F value Pr(&gt;F)  
## condition     2    346   173.1   2.655 0.0711 .
## Residuals   629  41009    65.2                 
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 6 observations deleted due to missingness</code></pre>
<pre class="r"><code>print(tukey_postanova1)</code></pre>
<pre><code>##   Tukey multiple comparisons of means
##     95% family-wise confidence level
## 
## Fit: aov(formula = post_true_reliable ~ condition, data = crmisf)
## 
## $condition
##                       diff        lwr       upr     p adj
## depict-control  -1.3977181 -3.2706797 0.4752434 0.1864638
## misinfo-control  0.3373578 -1.4818803 2.1565960 0.9007061
## misinfo-depict   1.7350759 -0.1236136 3.5937654 0.0731327</code></pre>
<pre class="r"><code>summary(postanova2)</code></pre>
<pre><code>##              Df Sum Sq Mean Sq F value Pr(&gt;F)
## condition     2      0    0.21   0.004  0.996
## Residuals   618  34134   55.23               
## 17 observations deleted due to missingness</code></pre>
<pre class="r"><code>print(tukey_postanova2)</code></pre>
<pre><code>##   Tukey multiple comparisons of means
##     95% family-wise confidence level
## 
## Fit: aov(formula = post_true_conf ~ condition, data = crmisf)
## 
## $condition
##                        diff       lwr      upr     p adj
## depict-control  0.050567015 -1.686571 1.787705 0.9974248
## misinfo-control 0.057739343 -1.630292 1.745771 0.9964460
## misinfo-depict  0.007172328 -1.722284 1.736628 0.9999477</code></pre>
<pre class="r"><code>summary(postanova3)</code></pre>
<pre><code>##              Df Sum Sq Mean Sq F value Pr(&gt;F)  
## condition     2    779   389.3   4.317 0.0137 *
## Residuals   611  55091    90.2                 
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 24 observations deleted due to missingness</code></pre>
<pre class="r"><code>print(tukey_postanova3)</code></pre>
<pre><code>##   Tukey multiple comparisons of means
##     95% family-wise confidence level
## 
## Fit: aov(formula = post_true_share ~ condition, data = crmisf)
## 
## $condition
##                       diff        lwr        upr     p adj
## depict-control  -2.3629808 -4.5956814 -0.1302802 0.0350973
## misinfo-control  0.1250449 -2.0471583  2.2972481 0.9899664
## misinfo-depict   2.4880257  0.2703998  4.7056516 0.0233617</code></pre>
<pre class="r"><code># Calculate means and standard errors
summary_data_post &lt;- crmisf %&gt;%
  group_by(condition) %&gt;%
  summarize(
    mean_reliable = mean(post_true_reliable, na.rm = TRUE),
    se_reliable = sd(post_true_reliable, na.rm = TRUE) / sqrt(n()),
    mean_share = mean(post_true_share, na.rm = TRUE),
    se_share = sd(post_true_share, na.rm = TRUE) / sqrt(n()),
    mean_conf = mean(post_true_conf, na.rm = TRUE),
    se_conf = sd(post_true_conf, na.rm = TRUE) / sqrt(n())
  )

# Plot for post_true_reliable
ggplot(summary_data_post, aes(x = condition, y = mean_reliable)) +
  geom_bar(stat = &quot;identity&quot;, fill = &quot;skyblue&quot;) +
  geom_errorbar(aes(ymin = mean_reliable - se_reliable, ymax = mean_reliable + se_reliable), width = 0.2) +
  
  # Add significance lines and stars
  geom_segment(aes(x = 2, xend = 3, y = max(summary_data_post$mean_reliable + summary_data_post$se_reliable) + 0.5, 
                   yend = max(summary_data_post$mean_reliable + summary_data_post$se_reliable) + 0.5)) +
  annotate(&quot;text&quot;, x = 2.5, y = max(summary_data_post$mean_reliable + summary_data_post$se_reliable) + 0.7, 
           label = &quot;*&quot;, size = 6) +
  
  labs(title = &quot;Mean Reliability Ratings by Condition&quot;, 
       y = &quot;Mean Reliability Rating&quot;, 
       x = &quot;Condition&quot;) +
  scale_y_continuous(limits = c(0, max(summary_data_post$mean_reliable + summary_data_post$se_reliable) + 5)) +
  theme_minimal()</code></pre>
<pre><code>## Warning: Use of `summary_data_post$mean_reliable` is discouraged.
## ℹ Use `mean_reliable` instead.</code></pre>
<pre><code>## Warning: Use of `summary_data_post$se_reliable` is discouraged.
## ℹ Use `se_reliable` instead.</code></pre>
<pre><code>## Warning: Use of `summary_data_post$mean_reliable` is discouraged.
## ℹ Use `mean_reliable` instead.</code></pre>
<pre><code>## Warning: Use of `summary_data_post$se_reliable` is discouraged.
## ℹ Use `se_reliable` instead.</code></pre>
<pre><code>## Warning in geom_segment(aes(x = 2, xend = 3, y = max(summary_data_post$mean_reliable + : All aesthetics have length 1, but the data has 3 rows.
## ℹ Please consider using `annotate()` or provide this layer with data containing
##   a single row.</code></pre>
<p><img role="img" 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" width="672" /></p>
<pre class="r"><code># Plot for post_true_share
ggplot(summary_data_post, aes(x = condition, y = mean_share)) +
  geom_bar(stat = &quot;identity&quot;, fill = &quot;lightgreen&quot;) +
  geom_errorbar(aes(ymin = mean_share - se_share, ymax = mean_share + se_share), width = 0.2) +
  
  # Add significance lines and stars
  geom_segment(aes(x = 1, xend = 2, y = max(summary_data_post$mean_share + summary_data_post$se_share) + 0.5, 
                   yend = max(summary_data_post$mean_share + summary_data_post$se_share) + 0.5)) +
  annotate(&quot;text&quot;, x = 1.5, y = max(summary_data_post$mean_share + summary_data_post$se_share) + 0.7, 
           label = &quot;*&quot;, size = 6) +
  
  labs(title = &quot;Mean Sharing Intention by Condition&quot;, 
       y = &quot;Mean Sharing Intention&quot;, 
       x = &quot;Condition&quot;) +
  scale_y_continuous(limits = c(0, max(summary_data_post$mean_share + summary_data_post$se_share) + 5)) +
  theme_minimal()</code></pre>
<pre><code>## Warning: Use of `summary_data_post$mean_share` is discouraged.
## ℹ Use `mean_share` instead.</code></pre>
<pre><code>## Warning: Use of `summary_data_post$se_share` is discouraged.
## ℹ Use `se_share` instead.</code></pre>
<pre><code>## Warning: Use of `summary_data_post$mean_share` is discouraged.
## ℹ Use `mean_share` instead.</code></pre>
<pre><code>## Warning: Use of `summary_data_post$se_share` is discouraged.
## ℹ Use `se_share` instead.</code></pre>
<pre><code>## Warning in geom_segment(aes(x = 1, xend = 2, y = max(summary_data_post$mean_share + : All aesthetics have length 1, but the data has 3 rows.
## ℹ Please consider using `annotate()` or provide this layer with data containing
##   a single row.</code></pre>
<p><img role="img" 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" width="672" /></p>
<pre class="r"><code># Plot for post_true_conf (no significant difference)
ggplot(summary_data_post, aes(x = condition, y = mean_conf)) +
  geom_bar(stat = &quot;identity&quot;, fill = &quot;lightcoral&quot;) +
  geom_errorbar(aes(ymin = mean_conf - se_conf, ymax = mean_conf + se_conf), width = 0.2) +
  
  labs(title = &quot;Mean Confidence in Judgement by Condition&quot;, 
       y = &quot;Mean Confidence in Judgement&quot;, 
       x = &quot;Condition&quot;) +
  scale_y_continuous(limits = c(0, max(summary_data_post$mean_conf + summary_data_post$se_conf) + 5)) +
  theme_minimal()</code></pre>
<p><img role="img" 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" width="672" /></p>
<pre class="r"><code>library(tidyverse)
library(ggplot2)

# Assuming &#39;crmisf&#39; contains the raw data with columns:
# &#39;condition&#39;, &#39;post_true_reliable&#39;, &#39;post_true_share&#39;, &#39;post_true_conf&#39;

# ----------------------------------------------------------------------
# 1. PREPARE THE RAW DATA FOR PLOTTING
# ----------------------------------------------------------------------

raw_data_long_true &lt;- crmisf %&gt;%
  # Select the condition and the three post-true variables
  select(condition, post_true_reliable, post_true_share, post_true_conf) %&gt;%
  # Reshape from wide to long format
  pivot_longer(
    cols = starts_with(&quot;post_true&quot;),
    names_to = &quot;variable&quot;,
    values_to = &quot;score&quot;
  ) %&gt;%
  # Create a factor for variable labels (for plotting order and names)
  mutate(
    variable_label = factor(variable,
                            levels = c(&quot;post_true_reliable&quot;, &quot;post_true_share&quot;, &quot;post_true_conf&quot;),
                            labels = c(&quot;Reliability&quot;, &quot;Sharing Intention&quot;, &quot;Confidence&quot;))
  )

# ----------------------------------------------------------------------
# 2. CREATE THE FACETED VIOLIN PLOT with JITTERED POINTS
# ----------------------------------------------------------------------

ggplot(raw_data_long_true, aes(x = condition, y = score, fill = condition)) +

  # 1. Add the Violin Plot (density)
  geom_violin(trim = TRUE, alpha = 0.6) +

  # 2. Add Jittered Points (Raw Data)
  geom_point(
    aes(color = condition), # Color points by condition
    position = position_jitter(width = 0.15, seed = 42),
    alpha = 0.2, # Transparency
    size = 1.5,
    show.legend = FALSE
  ) +

  # 3. Add the Box Plot inside (median and quartiles)
  geom_boxplot(
    width = 0.1,
    outlier.shape = NA, # Prevents plotting the outliers twice
    fill = &quot;white&quot;,
    alpha = 0.5
  ) +

  # 4. Facet by the variable
  facet_wrap(~ variable_label, scales = &quot;free_y&quot;) +

  # 5. Set Y-axis scale (UPDATED TO LIMIT 60)
  scale_y_continuous(limits = c(0, 60)) +

  # 6. Labels and Theme
  labs(
    title = &quot;Post-test Score Distributions by Condition for True Headlines&quot;,
    y = &quot;Score (0-60 Scale)&quot;,
    x = &quot;Condition&quot;
  ) +
  theme_minimal() +
  theme(
    legend.position = &quot;none&quot;,
    plot.title = element_text(hjust = 0.5),
    strip.text = element_text(face = &quot;bold&quot;)
  )</code></pre>
<pre><code>## Warning: Removed 47 rows containing non-finite outside the scale range
## (`stat_ydensity()`).</code></pre>
<pre><code>## Warning: Removed 47 rows containing non-finite outside the scale range
## (`stat_boxplot()`).</code></pre>
<pre><code>## Warning: Removed 47 rows containing missing values or values outside the scale range
## (`geom_point()`).</code></pre>
<p><img role="img" 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" width="672" />
#H2d-f: On the post-test for false headlines, there will be a decrease
in ratings of reliability (H2d), sharing intention (H2e), and confidence
in judgement (H2f) for the misinformation condition, as compared to the
depict and control conditions.</p>
<pre class="r"><code>postanova4&lt;- aov(post_false_reliable~condition, data = crmisf)
tukey_postanova4 &lt;- TukeyHSD(postanova4)
postanova5&lt;- aov(post_false_conf~condition, data = crmisf)
tukey_postanova5 &lt;- TukeyHSD(postanova5)
postanova6&lt;- aov(post_false_share~condition, data = crmisf)
tukey_postanova6 &lt;- TukeyHSD(postanova6)

summary(postanova4)</code></pre>
<pre><code>##              Df Sum Sq Mean Sq F value Pr(&gt;F)  
## condition     2    749   374.4   4.035 0.0182 *
## Residuals   624  57904    92.8                 
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 11 observations deleted due to missingness</code></pre>
<pre class="r"><code>print(tukey_postanova4)</code></pre>
<pre><code>##   Tukey multiple comparisons of means
##     95% family-wise confidence level
## 
## Fit: aov(formula = post_false_reliable ~ condition, data = crmisf)
## 
## $condition
##                       diff        lwr       upr     p adj
## depict-control  -2.1071584 -4.3531509 0.1388341 0.0712541
## misinfo-control  0.4400768 -1.7353505 2.6155041 0.8829893
## misinfo-depict   2.5472352  0.3183396 4.7761309 0.0203362</code></pre>
<pre class="r"><code>summary(postanova5)</code></pre>
<pre><code>##              Df Sum Sq Mean Sq F value Pr(&gt;F)
## condition     2      2    0.99   0.017  0.983
## Residuals   621  36479   58.74               
## 14 observations deleted due to missingness</code></pre>
<pre class="r"><code>print(tukey_postanova5)</code></pre>
<pre><code>##   Tukey multiple comparisons of means
##     95% family-wise confidence level
## 
## Fit: aov(formula = post_false_conf ~ condition, data = crmisf)
## 
## $condition
##                        diff       lwr      upr     p adj
## depict-control   0.07860007 -1.710064 1.867264 0.9941413
## misinfo-control -0.06000261 -1.798938 1.678932 0.9963836
## misinfo-depict  -0.13860268 -1.913420 1.636215 0.9816146</code></pre>
<pre class="r"><code>summary(postanova6)</code></pre>
<pre><code>##              Df Sum Sq Mean Sq F value   Pr(&gt;F)    
## condition     2   1710   854.8   7.187 0.000823 ***
## Residuals   605  71956   118.9                     
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 30 observations deleted due to missingness</code></pre>
<pre class="r"><code>print(tukey_postanova6)</code></pre>
<pre><code>##   Tukey multiple comparisons of means
##     95% family-wise confidence level
## 
## Fit: aov(formula = post_false_share ~ condition, data = crmisf)
## 
## $condition
##                       diff       lwr        upr     p adj
## depict-control  -3.5098768 -6.080689 -0.9390648 0.0040192
## misinfo-control  0.1955832 -2.314013  2.7051794 0.9816869
## misinfo-depict   3.7054600  1.143475  6.2674445 0.0020857</code></pre>
<pre class="r"><code>library(tidyverse)
library(ggplot2)

# ----------------------------------------------------------------------
# 1. PREPARE THE RAW DATA FOR PLOTTING (No changes here)
# ----------------------------------------------------------------------

raw_data_long &lt;- crmisf %&gt;%
  # Select the condition and the three post-false variables
  select(condition, post_false_reliable, post_false_share, post_false_conf) %&gt;%
  # Reshape from wide to long format
  pivot_longer(
    cols = starts_with(&quot;post_false&quot;),
    names_to = &quot;variable&quot;,
    values_to = &quot;score&quot;
  ) %&gt;%
  # Create a factor for variable labels
  mutate(
    variable_label = factor(variable,
                            levels = c(&quot;post_false_reliable&quot;, &quot;post_false_share&quot;, &quot;post_false_conf&quot;),
                            labels = c(&quot;Reliability&quot;, &quot;Sharing Intention&quot;, &quot;Confidence&quot;))
  )

# ----------------------------------------------------------------------
# 2. CREATE THE FACETED VIOLIN PLOT with JITTERED POINTS
# ----------------------------------------------------------------------

ggplot(raw_data_long, aes(x = condition, y = score, fill = condition)) +

  # 1. Add the Violin Plot (density)
  geom_violin(trim = TRUE, alpha = 0.6) +

  # 2. Add Jittered Points (Raw Data)
  # position_jitter spreads the points horizontally for visibility.
  # Use &#39;color = &quot;black&quot;&#39; or &#39;color = &quot;grey&quot;&#39; for contrast.
  # alpha controls transparency (0.1 is very light).
  geom_point(
    aes(color = condition), # Use a color mapping, e.g., &#39;color = condition&#39;
    position = position_jitter(width = 0.15, seed = 42), # Add horizontal scatter
    alpha = 0.2, # Make points transparent so the density is still visible
    size = 1.5,
    show.legend = FALSE # Hide the legend for the points
  ) +

  # 3. Add the Box Plot (to show median/quartiles)
  geom_boxplot(
    width = 0.1,
    outlier.shape = NA, # Prevents plotting the outliers twice
    fill = &quot;white&quot;,
    alpha = 0.5
  ) +

  # 4. Split by the variable and allow independent y-axes
  facet_wrap(~ variable_label, scales = &quot;free_y&quot;) +

  # 5. Set Y-axis scale (adjust limits as needed)
  scale_y_continuous(limits = c(0, 60)) +

  # 6. Labels and Theme
  labs(
    title = &quot;Post-test Score Distributions by Condition for False Headlines&quot;,
    y = &quot;Score&quot;,
    x = &quot;Condition&quot;
  ) +
  theme_minimal() +
  theme(
    legend.position = &quot;none&quot;,
    plot.title = element_text(hjust = 0.5),
    strip.text = element_text(face = &quot;bold&quot;)
  )</code></pre>
<pre><code>## Warning: Removed 55 rows containing non-finite outside the scale range
## (`stat_ydensity()`).</code></pre>
<pre><code>## Warning: Removed 55 rows containing non-finite outside the scale range
## (`stat_boxplot()`).</code></pre>
<pre><code>## Warning: Removed 55 rows containing missing values or values outside the scale range
## (`geom_point()`).</code></pre>
<p><img role="img" 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" width="672" /></p>
<pre class="r"><code># ----------------------------------------------------------------------
# 1. PREPARE THE RAW DATA FOR PLOTTING
# ----------------------------------------------------------------------

raw_data_long_true &lt;- crmisf %&gt;%
  # Select the condition and the three post-true variables
  select(condition, post_true_reliable, post_true_share, post_true_conf) %&gt;%
  # Reshape from wide to long format
  pivot_longer(
    cols = starts_with(&quot;post_true&quot;),
    names_to = &quot;variable&quot;,
    values_to = &quot;score&quot;
  ) %&gt;%
  # Create a factor for variable labels (for plotting order and names)
  mutate(
    variable_label = factor(variable,
                            levels = c(&quot;post_true_reliable&quot;, &quot;post_true_share&quot;, &quot;post_true_conf&quot;),
                            labels = c(&quot;Reliability&quot;, &quot;Sharing Intention&quot;, &quot;Confidence&quot;))
  )

# ----------------------------------------------------------------------
# 2. CREATE THE FACETED VIOLIN PLOT with JITTERED POINTS
# ----------------------------------------------------------------------

ggplot(raw_data_long_true, aes(x = condition, y = score, fill = condition)) +

  # 1. Add the Violin Plot (density)
  geom_violin(trim = TRUE, alpha = 0.6) +

  # 2. Add Jittered Points (Raw Data)
  geom_point(
    aes(color = condition), # Color points by condition
    position = position_jitter(width = 0.15, seed = 42),
    alpha = 0.2, # Transparency
    size = 1.5,
    show.legend = FALSE
  ) +

  # 3. Add the Box Plot inside (median and quartiles)
  geom_boxplot(
    width = 0.1,
    outlier.shape = NA, # Prevents plotting the outliers twice
    fill = &quot;white&quot;,
    alpha = 0.5
  ) +

  # 4. Facet by the variable
  facet_wrap(~ variable_label, scales = &quot;free_y&quot;) +

  # 5. Set Y-axis scale (UPDATED TO LIMIT 60)
  scale_y_continuous(limits = c(0, 60)) +

  # 6. Labels and Theme
  labs(
    title = &quot;Post-test Score Distributions by Condition for True Headlines&quot;,
    y = &quot;Score (0-60 Scale)&quot;,
    x = &quot;Condition&quot;
  ) +
  theme_minimal() +
  theme(
    legend.position = &quot;none&quot;,
    plot.title = element_text(hjust = 0.5),
    strip.text = element_text(face = &quot;bold&quot;)
  )</code></pre>
<pre><code>## Warning: Removed 47 rows containing non-finite outside the scale range
## (`stat_ydensity()`).</code></pre>
<pre><code>## Warning: Removed 47 rows containing non-finite outside the scale range
## (`stat_boxplot()`).</code></pre>
<pre><code>## Warning: Removed 47 rows containing missing values or values outside the scale range
## (`geom_point()`).</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>library(tidyverse)
library(ggplot2)

# Assuming &#39;crmisf&#39; contains the raw data with columns:
# &#39;condition&#39;, &#39;post_true_reliable&#39;, &#39;post_true_share&#39;, &#39;post_true_conf&#39;,
# &#39;post_false_reliable&#39;, &#39;post_false_share&#39;, &#39;post_false_conf&#39;
# ----------------------------------------------------------------------
# 1. DATA PREPARATION AND RESTRUCTURING
# ----------------------------------------------------------------------

library(tidyverse)
library(ggplot2)

# Assuming &#39;crmisf&#39; contains the raw data with columns:
# &#39;condition&#39;, &#39;post_true_reliable&#39;, &#39;post_true_share&#39;, &#39;post_true_conf&#39;,
# &#39;post_false_reliable&#39;, &#39;post_false_share&#39;, &#39;post_false_conf&#39;

# ----------------------------------------------------------------------
# 1. DATA PREPARATION AND RESTRUCTURING
# ----------------------------------------------------------------------

# Select and reshape the TRUE headline data
true_data_long &lt;- crmisf %&gt;%
  select(condition, starts_with(&quot;post_true&quot;)) %&gt;%
  pivot_longer(
    cols = starts_with(&quot;post_true&quot;),
    names_to = &quot;variable&quot;,
    values_to = &quot;score&quot;
  ) %&gt;%
  mutate(
    Veracity = &quot;True Headlines&quot;,
    variable = str_remove(variable, &quot;post_true_&quot;)
  )

# Select and reshape the FALSE headline data
false_data_long &lt;- crmisf %&gt;%
  select(condition, starts_with(&quot;post_false&quot;)) %&gt;%
  pivot_longer(
    cols = starts_with(&quot;post_false&quot;),
    names_to = &quot;variable&quot;,
    values_to = &quot;score&quot;
  ) %&gt;%
  mutate(
    Veracity = &quot;False Headlines&quot;,
    variable = str_remove(variable, &quot;post_false_&quot;)
  )

# Combine and set factor orders
combined_data_long &lt;- bind_rows(true_data_long, false_data_long) %&gt;%
  # CORRECTED: Veracity levels now match the data labels (Headlines - plural)
  mutate(
    Veracity = factor(Veracity, levels = c(&quot;True Headlines&quot;, &quot;False Headlines&quot;)), # TRUE comes first
    variable_label = factor(variable,
                            levels = c(&quot;reliable&quot;, &quot;share&quot;, &quot;conf&quot;),
                            labels = c(&quot;Reliability&quot;, &quot;Sharing Intention&quot;, &quot;Confidence&quot;))
  )

# ----------------------------------------------------------------------
# 2. CREATE THE FACETED VIOLIN PLOT (Post-test)
# ----------------------------------------------------------------------

ggplot(combined_data_long, aes(x = condition, y = score, fill = condition)) +

  # 1. Add the Violin Plot (density)
  geom_violin(trim = TRUE, alpha = 0.6) +

  # 2. Add Jittered Points (Raw Data)
  geom_point(
    aes(color = condition),
    position = position_jitter(width = 0.15, seed = 42),
    alpha = 0.15,
    size = 1.5,
    show.legend = FALSE
  ) +

  # 3. Add the Box Plot inside (median and quartiles)
  geom_boxplot(
    width = 0.1,
    outlier.shape = NA,
    fill = &quot;white&quot;,
    alpha = 0.5
  ) +

  # 4. Facet by both Veracity (rows) and Variable (columns)
  facet_grid(Veracity ~ variable_label, scales = &quot;free_y&quot;) +

  # 5. Set Y-axis scale
  scale_y_continuous(limits = c(0, 60)) +

  # 6. Labels and Theme
  labs(
    title = &quot;Post-test Score Distributions by Condition for True and False Headlines&quot;,
    y = &quot;Score&quot;,
    x = &quot;Condition&quot;
  ) +
  theme_minimal() +
  theme(
    legend.position = &quot;right&quot;, # Added Legend
    plot.title = element_text(hjust = 0.5),
    strip.text = element_text(face = &quot;bold&quot;)
  )</code></pre>
<pre><code>## Warning: Removed 102 rows containing non-finite outside the scale range
## (`stat_ydensity()`).</code></pre>
<pre><code>## Warning: Removed 102 rows containing non-finite outside the scale range
## (`stat_boxplot()`).</code></pre>
<pre><code>## Warning: Removed 102 rows containing missing values or values outside the scale range
## (`geom_point()`).</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code># ----------------------------------------------------------------------
# 1. DATA PREPARATION AND RESTRUCTURING (Pre-test)
# ----------------------------------------------------------------------

# Select and reshape the TRUE headline data
pre_true_data &lt;- crmisf %&gt;%
  select(condition, starts_with(&quot;pre_true&quot;)) %&gt;%
  pivot_longer(
    cols = starts_with(&quot;pre_true&quot;),
    names_to = &quot;variable&quot;,
    values_to = &quot;score&quot;
  ) %&gt;%
  mutate(
    Veracity = &quot;True Headlines&quot;,
    variable = str_remove(variable, &quot;pre_true_&quot;)
  )

# Select and reshape the FALSE headline data
pre_false_data &lt;- crmisf %&gt;%
  select(condition, starts_with(&quot;pre_false&quot;)) %&gt;%
  pivot_longer(
    cols = starts_with(&quot;pre_false&quot;),
    names_to = &quot;variable&quot;,
    values_to = &quot;score&quot;
  ) %&gt;%
  mutate(
    Veracity = &quot;False Headlines&quot;,
    variable = str_remove(variable, &quot;pre_false_&quot;)
  )

# Combine and set factor orders
combined_pre_data &lt;- bind_rows(pre_true_data, pre_false_data) %&gt;%
  # CORRECTED: Veracity levels now match the data labels (Headlines - plural)
  mutate(
    Veracity = factor(Veracity, levels = c(&quot;True Headlines&quot;, &quot;False Headlines&quot;)), # TRUE comes first
    variable_label = factor(variable,
                            levels = c(&quot;reliable&quot;, &quot;share&quot;, &quot;conf&quot;),
                            labels = c(&quot;Reliability&quot;, &quot;Sharing Intention&quot;, &quot;Confidence&quot;))
  )

# ----------------------------------------------------------------------
# 2. CREATE THE FACETED VIOLIN PLOT (Pre-test)
# ----------------------------------------------------------------------

ggplot(combined_pre_data, aes(x = condition, y = score, fill = condition)) +

  # 1. Add the Violin Plot (density)
  geom_violin(trim = TRUE, alpha = 0.6) +

  # 2. Add Jittered Points (Raw Data)
  geom_point(
    aes(color = condition),
    position = position_jitter(width = 0.15, seed = 42),
    alpha = 0.15,
    size = 1.5,
    show.legend = FALSE
  ) +

  # 3. Add the Box Plot inside (median and quartiles)
  geom_boxplot(
    width = 0.1,
    outlier.shape = NA,
    fill = &quot;white&quot;,
    alpha = 0.5
  ) +

  # 4. Facet by both Veracity (rows) and Variable (columns)
  facet_grid(Veracity ~ variable_label, scales = &quot;free_y&quot;) +

  # 5. Set Y-axis scale
  scale_y_continuous(limits = c(0, 60)) +

  # 6. Labels and Theme
  labs(
    title = &quot;Pre-test Score Distributions by Condition for True and False Headlines&quot;,
    y = &quot;Score&quot;,
    x = &quot;Condition&quot;
  ) +
  theme_minimal() +
  theme(
    legend.position = &quot;right&quot;, # Added Legend
    plot.title = element_text(hjust = 0.5),
    strip.text = element_text(face = &quot;bold&quot;)
  )</code></pre>
<pre><code>## Warning: Removed 134 rows containing non-finite outside the scale range
## (`stat_ydensity()`).</code></pre>
<pre><code>## Warning: Removed 134 rows containing non-finite outside the scale range
## (`stat_boxplot()`).</code></pre>
<pre><code>## Warning: Removed 134 rows containing missing values or values outside the scale range
## (`geom_point()`).</code></pre>
<p><img role="img" 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" 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